Various indicators of health and utilisation of health services were used as dependent variables.
This analysis was done to report the relationship between sociodemographic variables and the mental health indicators, as well as between the mental health indicators, care utilisation, and ICPC diagnoses.
Using the administrative databases of the entire studied population, we will calculate indicators of utilisation and outcomes of care, such as hospitalisation for ambulatory-care sensitive conditions (see Additional file 1 for details on the indicators).
Objective: to provide users in FAO and the world community at large with a set of consistent and up-to-date series and indicators relating to production, trade and utilisation - crop and livestock - statistics to analyse and monitor the food and agricultural regional and global situation and to support decision making.
From the population questionnaire, we will calculate indicators of affiliation with a primary care provider, indicators of utilisation of healthcare services and indices of PHC experience, as validated in our previous study.
Further insights into these relationships may be obtained by exploring the relationships between a wider range of characteristics of primary medical services and population health indicators and measures of health service utilisation.
This paper therefore presents results of analyses which aimed to determine how different primary medical services access variables were associated with population health indicators and measures of health service utilisation after adjusting for socio-economic deprivation.
IFLS-4 collected individual-level data on anthropometry, morbidity indicators, healthcare utilisation, health behaviours and household expenditure as well as information on questions related to chronic morbid conditions in participants aged 40 years and above.
Indicators of primary care access which are based only on the supply and utilisation of services will be inadequate.
To this end, they need to be used in conjunction with other indicators such as cause specific mortality, disease specific morbidity data and service coverage and utilisation data.
