AccessMod 3.0: computing geographic coverage and accessibility to health care services using anisotropic movement of patients

Background Access to health care can be described along four dimensions: geographic accessibility, availability, financial accessibility and acceptability. Geographic accessibility measures how physically accessible resources are for the population, while availability reflects what resources are available and in what amount. Combining these two types of measure into a single index provides a measure of geographic (or spatial) coverage, which is an important measure for assessing the degree of accessibility of a health care network. Results This paper describes the latest version of AccessMod, an extension to the Geographical Information System ArcView 3.×, and provides an example of application of this tool. AccessMod 3 allows one to compute geographic coverage to health care using terrain information and population distribution. Four major types of analysis are available in AccessMod: (1) modeling the coverage of catchment areas linked to an existing health facility network based on travel time, to provide a measure of physical accessibility to health care; (2) modeling geographic coverage according to the availability of services; (3) projecting the coverage of a scaling-up of an existing network; (4) providing information for cost effectiveness analysis when little information about the existing network is available. In addition to integrating travelling time, population distribution and the population coverage capacity specific to each health facility in the network, AccessMod can incorporate the influence of landscape components (e.g. topography, river and road networks, vegetation) that impact travelling time to and from facilities. Topographical constraints can be taken into account through an anisotropic analysis that considers the direction of movement. We provide an example of the application of AccessMod in the southern part of Malawi that shows the influences of the landscape constraints and of the modes of transportation on geographic coverage. Conclusion By incorporating the demand (population) and the supply (capacities of heath care centers), AccessMod provides a unifying tool to efficiently assess the geographic coverage of a network of health care facilities. This tool should be of particular interest to developing countries that have a relatively good geographic information on population distribution, terrain, and health facility locations.

Chlamydia prevalence in young attenders of rural and regional primary care services in Australia: a cross-sectional survey.

OBJECTIVE To estimate chlamydia prevalence among 16-29-year-olds attending general practice clinics in Australia. DESIGN, PARTICIPANTS AND SETTING A cross-sectional survey was conducted from May 2010 to December 2012. Sexually experienced 16-29-year-olds were recruited from 134 general practice clinics in 54 rural and regional towns in four states and in nine metropolitan clinics (consecutive patients were invited to participate). Participants completed a questionnaire and were tested for chlamydia. MAIN OUTCOME MEASURE Chlamydia prevalence. RESULTS Of 4284 participants, 197 tested positive for chlamydia (4.6%; 95% CI, 3.9%-5.3%). Prevalence was similar in men (5.2% [65/1257]; 95% CI, 3.9%-6.4%) and women (4.4% [132/3027]; 95% CI, 3.5%-5.2%) (P = 0.25) and high in those reporting genital symptoms or a partner with a sexually transmissible infection (STI) - 17.0% in men (8/47; 95% CI, 2.8%-31.2%); 9.5% in women (16/169; 95% CI, 5.1%-13.8%). Nearly three-quarters of cases (73.4% [130/177]) were diagnosed in asymptomatic patients attending for non-sexual health reasons, and 83.8% of all participants (3258/3890) had attended for non-sexual health reasons. Prevalence was slightly higher in participants from rural and regional areas (4.8% [179/3724]; 95% CI, 4.0%-5.6%) than those from metropolitan areas (3.1% [17/548]; 95% CI, 1.5%-4.7%) (P = 0.08). In multivariable analysis, increasing partner numbers in previous 12 months (adjusted odds ratio [AOR] for three or more partners, 5.11 [95% CI, 2.35-11.08]), chlamydia diagnosis in previous 12 months (AOR, 4.35 [95% CI, 1.52-12.41]) and inconsistent condom use with most recent partner (AOR, 2.90 [95% CI, 1.31-6.40]) were significantly associated with chlamydia in men. In women, increasing partner numbers in previous 12 months (AOR for two partners, 2.59 [95% CI, 1.59-4.23]; AOR for three or more partners, 3.58 [95% CI, 2.26-5.68]), chlamydia diagnosis in previous 12 months (AOR, 3.13 [95% CI, 1.62-6.06]) and age (AOR for 25-29-year-olds, 0.23 [95% CI, 0.12-0.44]) were associated with chlamydia. CONCLUSIONS Chlamydia prevalence is similar in young men and women attending general practice. Testing only those with genital symptoms or a partner with an STI would have missed three-quarters of cases. Most men and women are amenable to being tested in general practice, even in rural and regional areas.