Hart, Tracy;Westerheim, Ingunn;van Welzenis, Taco;Semler, Oliver;Raggio, Cathleen;Rauch, Frank;Dadzie, Ruby;Prince, Samantha;Wekre, Lena Lande — 2024Supplementary Material 6: Appendix Table 6. Poisson regression analysis of patient-reported characteristics associated with healthcare resource utilisation and cost. This table provides the incidence rate ratios and corresponding 95% confidence intervals derived from Poisson regression analyses of patient reported characteristics associated with healthcare resource utilisation and cost.https://creativecommons.org/licenses/by/4.0/legalcode
Hart, Tracy;Westerheim, Ingunn;van Welzenis, Taco;Semler, Oliver;Raggio, Cathleen;Rauch, Frank;Dadzie, Ruby;Prince, Samantha;Wekre, Lena Lande — 2024Supplementary Material 7: Appendix Table 7. Logistic regression analysis of patient-reported characteristics associated with healthcare resource utilisation and cost. This table provides the odds ratios and corresponding 95% confidence intervals derived from logistic regression analyses of patient reported characteristics associated with healthcare resource utilisation and cost.https://creativecommons.org/licenses/by/4.0/legalcode
Hart, Tracy;Westerheim, Ingunn;van Welzenis, Taco;Semler, Oliver;Raggio, Cathleen;Rauch, Frank;Dadzie, Ruby;Prince, Samantha;Wekre, Lena Lande — 2024Supplementary Material 8: Appendix Figure 1. Incidence rate and odds ratios with 95% confidence intervals for OI severity against healthcare utilisation and costs. These graphs illustrate statistically significant results from 57 different regression analyses, focusing on the relationship between OI severity and healthcare utilisation and costs.https://creativecommons.org/licenses/by/4.0/legalcode
Hart, Tracy;Westerheim, Ingunn;van Welzenis, Taco;Semler, Oliver;Raggio, Cathleen;Rauch, Frank;Dadzie, Ruby;Prince, Samantha;Wekre, Lena Lande — 2024Supplementary Material 9: Appendix Figure 2. Incidence rate and odds ratios with 95% confidence intervals for clinical signs, symptoms and events against healthcare utilisation and costs. These graphs illustrate statistically significant results from 57 different regression analyses, focusing on the relationship between different clinical signs, symptoms and events and healthcare utilisation and costs.https://creativecommons.org/licenses/by/4.0/legalcode