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. 2019 Jan 11;17:2. doi: 10.1186/s12916-018-1234-0

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — a Fully adjusted negative binomial modelling of risk of missing appointments for no, one to two, and four plus long-term conditions. Model controlled for age, sex, socioeconomic status (SIMD), distance between home and the practice, appointment delay, mean appointment time per patient, number of appointments per patient, rurality index, and mean practice socioeconomic status. The model is also offset for the number of appointments made. Circles represent relative risk ratios (RRRs) with 95% confidence intervals. b Fully adjusted negative binomial modelling of risk of missing appointment for physical health-related long-term conditions. Model controlled for age, sex, socioeconomic status, distance between home and the practice, appointment delay, mean appointment time per patient, number of appointments per patient, rurality index, mean practice socioeconomic status, and number of mental health-related long-term conditions. c Fully adjusted negative binomial modelling of risk of missing appointment for mental health-related long-term conditions. Model controlled for age, sex, socioeconomic status, distance between home and the practice, appointment delay, mean appointment time per patient, number of appointments per patient, rurality index, mean practice socioeconomic status and number of physical long-term conditions. All models are also offset for the number of appointments made. Circles represent RRRs with 95% confidence intervals