Socio-demographic, health-related, and individual correlates of diagnostic self-testing by lay people: Results from a representative survey in Germany.

INTRODUCTION: A broad range of self-tests (testing for e.g. HIV, cancer, hepatitis B/C) have become available and can be conducted by lay consumers without the help of a health professional. The aims of this study were to (a) investigate the prevalence of self-testing, (b) identify the most frequently used self-tests, and (c) explore the associations between socio-demographic, health-related and individual factors with self-testing. METHODS: A face-to-face plus paper-pencil cross-sectional survey was conducted. The sample consisted of 2.527 respondents who were representative of the German population in terms of the age, sex, and residence. Basic descriptive statistics and univariate logistic regression analyses were performed. RESULTS: 8.5% of the participants reported having used one or more self-tests in the past, totalling 363 self-tests, with a mean of 1.7 (min. = 1, max. = 6). The three self-tests most frequently indicated were for detecting diabetes, bowel cancer, and allergies. Self-testers were older (Nagelkerke R2 = .006, p < .01), had a higher BMI (Nagelkerke R2 = .013, p < .001) and displayed more physical and mental fatigue (Nagelkerke R2 = .031, p < .001) than non-testers. Self-testers also reported higher global life satisfaction values (Nagelkerke R2 = .008, p < .01) and a higher educational level (Nagelkerke R2 = .015, p < .01). CONCLUSIONS: Self-testing is fairly prevalent in Germany Given the current shortage of physicians in Germany, especially in rural areas, and recent studies on the use of self-medication, the topic of self-testing has a great practical and socio-political relevance. Future studies should investigate further predictors of self-testing (e.g. contextual, situational and individual factors) as well as the emotional consequences of testing as a layperson without the attendance of a health professional.

Psychological, situational and application-related determinants of the intention to self-test: a factorial survey among students.

BACKGROUND: The Internet enables an unprecedented opportunity to access a broad range of self-tests (e.g. testing for HIV, cancer, hepatitis B/C), which can be conducted by lay consumers without the help of a health professional. However, there is only little knowledge about the determinants of the use of self-tests. Thus, the aims of this study were (1) to experimentally investigate the impact of situational and application-related characteristics on the intention to use a self-test (ST), compared to being tested by a health professional at home (HPH) or at a doctor's office (HPD), (2) to examine the applicability of social-cognitive health behaviour theories on self-testing, and (3) to explore the advantages of integrating technological affinity into social-cognitive health behaviour models to predict self-testing. METHODS: In a factorial survey, 1248 vignettes were rated by 208 students. The core concepts of social-cognitive health behaviour theories, technological affinity, and different situational and application-related characteristics were investigated. RESULTS: Intention to ST was only predicted by the medical expertise of the tested person, while HPH and HPD were also associated with the application purpose of the test and the presence of an emotionally supporting person. Perceived severity and outcome-expectancy significantly predicted intention to self-test. Technological enthusiastic people had a higher intention to use a self-test. CONCLUSIONS: Intention to ST, HPH and HPD were predicted by different situational and application-related characteristics. Social-cognitive health behaviour theories can be applied to predict self-testing and do not need to be extended by technological affinity.

Exploring risks and benefits of point-of-care tests for healthcare and self-tests for laypersons: an interview study assessing complementary expert perspectives on diagnostic lab-on-a-chip systems.

BACKGROUND: A commercial breakthrough of point-of-care testing (POCT) and self-tests for laypersons (direct-to-consumer applications, DTC) is anticipated based on the advancements in the development of lab-on-a-chip system (LOC) technology. OBJECTIVE: The aim of this study was to investigate risks and benefits of LOC based diagnostic devices for healthcare and private self-testers. METHODS: Interviews with 22 developers/researchers of LOC technology and 10 technology assessment experts were conducted about the (a) need for, (b) benefits, and (c) risks of LOCs for healthcare and as DTC applications. A qualitative content analysis was conducted. RESULTS: Need for LOCs were seen mainly for healthcare, but not as DTC applications for fatal diseases. While benefits were seen mainly for healthcare and partially for DTC applications (e.g. faster diagnostics, more favourable diagnostics, POCT), risks were emphasised especially for DTC applications and less frequently for healthcare (e.g. various technical challenges, misinterpretation of test results, quality/reliability requirements). CONCLUSIONS: Medical expertise is the key imperative for the application of LOC based portable diagnostic devices in healthcare and particularly for self-testing. LOCs have to be designed to be easily operated and interpreted by self-testers. For healthcare, LOCs are envisaged to be a promising emerging technology with various benefits.

Opportunities and risks of diagnostic lab-on-a-chip systems in healthcare from a health system stakeholder's perspective.

AIM: The aim of personalized medicine is to respond to the needs of individuals with appropriate treatment. Lab-on-a-chip systems (LOCs) can help to individualize therapeutic algorithms at the point of care. Herein, we discuss the perspectives, demands and concerns associated with LOCs. METHODS: Interviews with 30 experts in the field of personalized medicine were conducted, addressing the requirements, potentials and risks of LOCs. The interviews were transcribed and evaluated by means of qualitative content analysis. RESULTS: The majority of experts emphasize a considerable potential for the lab-on-a-chip industry with the largest potential in the context of point-of-care diagnostics. The direct-to-costumer use is regarded as risky, in particular with respect to the reliability of the results. CONCLUSION: In addition to a major potential of the implementation of LOCs, their impact on delivery of healthcare have to be considered, and early communication between physicians and LOC developers and manufacturers have to be ensured.