Rural Remote Health
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Rural Remote Health · Oct 2010
Rural-urban disparities in the management and health issues of chronic diseases in Quebec (Canada) in the early 2000s.
The 'Commission on the Future of Health Care in Canada' recognized that people living in rural and remote areas of Canada are at a disadvantage in health status, access to care and health professionals, and it considers the fight against these problems as a national priority. Although some attention has been paid to the prevalence of chronic diseases, very few studies have studied specifically the management and health issues in populations with chronic diseases in relation to rurality. The objective of this study was to describe systematic gaps across rural and urban populations in incidence, mortality, morbidity, material and human resources utilization, and drug management for three important chronic diseases: atherosclerosis, osteoporosis and diabetes. ⋯ There was substantially lower utilization of specialized services in non-metropolitan areas for all three diseases (myocardial infarction, osteoporosis, and diabetes). However, this did not translate into consistent differences in mortality and morbidity outcomes. This suggests that the impact of differential care utilization is specific to each disease, with indications that some important services may be under-utilized in rural areas, while others may be over-utilized in urban areas without improvement in outcomes.
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Rural Remote Health · Oct 2010
Problems measuring community health status at a local level: Papua New Guinea's health information system.
The Papua New Guinea Department of Health monitors the performance of the health system using a computerised national health information system. This article draws on the recent evaluation of a national-wide donor-project community development initiative to highlight the problems of the lack of and disaggregated village health data. This data could be used to monitor health status, health worker performance and intervention impact. ⋯ This article highlights problems in evaluating community interventions or local service performance if reliable village-level data is absent. The health information system does not allow reporting of villages separately or the tracking of changes in health status over time according to identifiable villages. Assessing changes in physical health status is not possible without village-level baseline data to measure illness trends and improvements in health in identifiable villages. There is a need for policy changes to occur at national level to prevent loss of aid-post data from the system. Future planning for community health intervention strategies need to include disaggregated village-level baseline data against which to measure changes in community health status over time.