Descriptive statistics of the sample.

1<p>Used as a continuous variable in regression analysis.</p

Summary of regression analyses of changes in outcomes: Health status outcomes.

<p>*p< = 0.05;</p><p>**p<0.01;</p><p>***p< = 0.001.</p>$<p>Statistically significant (p<0.05) under sensitivity analysis.</p>1<p>Variables with no significant relationships to any outcome are not shown.</p><p>Model 1 = individual network characteristics controlled for patient demographic variables.</p><p>Model 2 = individual network characteristics controlled for patient demographics and disease burden.</p><p>Model 3 = network characteristics controlled for demographics, disease burden and one-another.</p

Summary of regression analyses of changes in outcomes: Self-management outcomes.

<p>*p< = 0.05;</p><p>**p<0.01;</p><p>***p< = 0.001.</p>$<p>Statistically significant (p<0.05) under sensitivity analysis.</p>1<p>Variables with no significant relationships to any outcome are not shown.</p><p>Model 1 = individual network characteristics controlled for patient demographic variables.</p><p>Model 2 = individual network characteristics controlled for patient demographics and disease burden.</p><p>Model 3 = network characteristics controlled for demographics, disease burden and one-another.</p

Modelled relationships (mean score and 95% confidence interval) between health behaviour and illness work done by the network, and emotional well-being and illness work done by the network, controlled for patient sociodemographics, disease burden and other significant social network characteristics (Model 3).

<p>Modelled relationships (mean score and 95% confidence interval) between health behaviour and illness work done by the network, and emotional well-being and illness work done by the network, controlled for patient sociodemographics, disease burden and other significant social network characteristics (Model 3).</p

Summary of regression analyses of outcomes at Time 1: Health status outcomes.

<p>*p< = 0.05;</p><p>**p<0.01;</p><p>***p< = 0.001.</p>1<p>Variables with no significant relationships to any outcome are not shown.</p><p>Model 1 = individual network characteristics controlled for patient demographic variables.</p><p>Model 2 = individual network characteristics controlled for patient demographics and disease burden.</p><p>Model 3 = network characteristics controlled for demographics, disease burden and one-another.</p

Summary of regression analyses of outcomes at Time 1: Self-management outcomes.

<p>*p< = 0.05;</p><p>**p<0.01;</p><p>***p< = 0.001.</p>1<p>Variables with no significant relationships to any outcome are not shown.</p><p>Model 1 = individual network characteristics controlled for patient demographic variables.</p><p>Model 2 = individual network characteristics controlled for patient demographics and disease burden.</p><p>Model 3 = network characteristics controlled for demographics, disease burden and one-another.</p

Information relating to the illness management workforce.

<p>Information relating to the illness management workforce.</p

Member and network-level mean work scores by relationship type.

1<p>Mean score for members of each relational type.</p>2<p>Combined (summed) score for members within a network, as a mean across networks that included the type.</p>3<p>Overall test of differences in scores between relational types.</p>4<p>One network included two partners/spouses.</p

Univariate and multivariate analysis of work done by network members: member characteristics.

<p>Univariate and multivariate analysis of work done by network members: member characteristics.</p

Multivariate analysis of work done by network members: Ego, member and network characteristics combined.

<p>Multivariate analysis of work done by network members: Ego, member and network characteristics combined.</p