Health Survey Agreement

Kang, Y., Steis, M.R., Kolanowski, A.M. et al. Measuring the agreement between the instruments of the health survey using reciprocal information. BMC Med Inform Decis Mak 16, 99 (2016). Whether you work in a hospital, doctor`s office, nursing home or pharmacy, you send surveys to your staff to find out if your health organization meets national patient safety standards. Our experts at the Health Research and Quality Agency (AHRQ® aim to help you target areas of improvement, set goals and compare your results with regional and national medical organizations. Biomarker Referral, Treatment, and Counselling Biomarker tests in DHS surveys benefit the well-being of interviewees while maintaining confidentiality and confidentiality. Currently, the rapid testing technologies used in DHS surveys are used to test respondents and obtain results for many home biomarkers. Interviewers offer remittances, information and for certain conditions, treatment.

Anaemia tests are generally offered to women and men aged 15 to 49 years and children aged 6 to 59 months; Respondents with moderate to severe anaemia are referred to a local health facility for appropriate care. Some surveys of malaria testing in children aged 6 to 59 months offer medicines to children with malaria and refer them, if necessary, to a local health centre. Some surveys offer hiv tests and consultations on HIV at home for women and men aged 15 to 49. In such cases, interviewees are counselled before and after the test and HIV-positive respondents are referred to a local health organization for appropriate care. For all biomarker tests, oral consultations and printed information are made available to interviewees and test results remain confidential. Like mutual information, Cohen`s Kappa seems to be a good candidate to measure the intensity of concordance. As Cohen`s Kappa increases, mutual information also increases (Pearson correlation – 0.831). In relation to reciprocal information, Cohens Kappa, whatever the nature of the agreement, translates into a high value, provided the total amount of the agreement is high. To illustrate, look at the contingency table that is shown to the left of Figure 1. We increase x11 from 1 to 1000 and reduce x22 from 1000 to 1, place other cells, x12 and x21 to k > 0, and measure reciprocal information and Cohen Kappa for each combination of x11, x12, x21, x22. This means that we are changing the relationship between the positive agreement and the negative agreement, because the total number of agreements is maintained.

Intuitively, we can assume that the degree of data match increases as x11 approaches x22, and the degree of data match will be highest when x11 x22 reaches.