Results are expressed as mean ± standard deviation or percentages (frequency data) as appropriate.
Data were compared using the χ test (nominal data), Wilcoxon rank test (nonparametric continuous data) or Student's t test (Gaussian continuous data), as appropriate.
Data are presented as percentage, or as mean ± SEM for normally distributed data, or as median (interquartile range) for skewed data as appropriate.
Clinical and demographic data were compared via t-test, chi-square or Mann–Whitney tests for parametric and non-parametric data, as appropriate.
Although our goal was to identify and describe qualitative (macro) trends, we ran routine statistics (e.g., ANOVAs, t-tests, Chi-square tests) on all data as appropriate, and report statistically significant differences in the text.
We fit conventional ordinary least squares (OLS) regression and spatial simultaneous autoregressive error models that control for the spatial autocorrelation in the data as appropriate.
Descriptive statistics has been used to interpret data as appropriate, and data were presented mean ± standard deviation if not stated otherwise.
The systems should be able to deal with the idiosyncrasies of individual patients, their care needs, their support networks and their care team, and capable of leveraging a range of different health systems, services and data as appropriate.
Proportions were used to summarise quantitative data as appropriate.
Student's t-test was performed to test the significance of difference in numerical data as appropriate.
Chi-square and Fisher's exact test were used for comparison of categorical data as appropriate.
