Developing and Evaluating Non-invasive Healthcare Technologies for a Group of Female Participants from a Socioeconomically Disadvantaged Area

Abstract

Background When compared to the general population, socioeconomically disadvantaged communities frequently experience compromised health. Monitoring the divide is challenging since in general, standardized biomedical tests are linguistically and culturally inappropriate. The aim of this study was to develop a novel healthcare technology for its usage in socioeconomically disadvantaged areas.Methods A unique mobile biomedical testbed based on non-invasive analysis, accompanied with the World Health Organization Quality of Life survey, was developed. This healthcare approach was used in Lindängen, a socioeconomically disadvantaged neighborhood in Malmö, which has been listed as one of the twelve most vulnerable neighborhoods in Sweden. Results The less intrusive biomedical approach, compared to conventional setups used, e.g., wrist blood pressure monitoring, bioimpedance analysis and cardiovascular diagnostics, non-invasive determination of blood bioanalytes, was highly appreciated by the participants, i.e., 39 female volunteers of Middle Eastern origin. Surprisingly, the collected biomedical data illustrated that the apparent health of the participants from Lindängen was comparable to the general Swedish population. The Quality of Life-BREF survey, used to gather information regarding subjective health perceptions within the cohort, combined with advanced statistical data analysis, revealed statistically significant correlations between perceived health and biomedical data. Even though the dependences found were complex, the recognition of which is essential in further research. Conclusions Our results validate the potential of non-invasive technologies in combination with advanced statistical analysis, especially when combined with linguistically and culturally appropriate healthcare methodologies, allowing participants to appreciate the significance of the different parameters to evaluate and monitor aspects of health.