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.