8. Tooth et al. (2008) AUSTRALIA | To develop indexes of multi-morbidity based on self-reported data, to predict mortality, health service use, help with activities of daily living (ADL) and health-related quality of life (HRQOL) in older women. | Quantitative, cross-sectional survey. Self-reported questionnaires. ADL, HRQOL. | Multiple linear regression. | These multi-morbidity indexes predict mortality, health service use, help with ADL and HRQOL in older women. The indexes could be used as covariates in research, with weighted scores having a better chance of discriminating between patient groups than unweighted scores. |
9. Van Oostrom et al. (2014) THE NETHERLANDS | To examine the relationship between having multiple diseases and the number of contacts with general practice. | Quantitative LINH. | Negative binomial regression analyses with a log-link function. | Multi-morbidity is associated with increased healthcare utilization in general practice, yet the increase declines per additional disease. Nevertheless, with the expected rise in multi-morbidity in the coming decades more extensive health resources will be required. |