Disparities in Healthcare Utilisation Rates for Aboriginal and Non-Aboriginal Albertan Residents, 1997-2006: A Population Database Study

Background: It is widely recognised that significant discrepancies exist between the health of indigenous and nonindigenous populations. Whilst the reasons are incompletely defined, one potential cause is that indigenous communities do not access healthcare to the same extent. We investigated healthcare utilisation rates in the Canadian Aboriginal population to elucidate the contribution of this fundamental social determinant for health to such disparities. Methods: Healthcare utilisation data over a nine-year period were analysed for a cohort of nearly two million individuals to determine the rates at which Aboriginal and non-Aboriginal populations utilised two specialties (Cardiology and Ophthalmology) in Alberta, Canada. Unadjusted and adjusted healthcare utilisation rates obtained by mixed linear and Poisson regressions, respectively, were compared amongst three population groups - federally registered Aboriginals, individuals receiving welfare, and other Albertans. Results: Healthcare utilisation rates for Aboriginals were substantially lower than those of non-Aboriginals and welfare recipients at each time point and subspecialty studied [e.g. During 2005/06, unadjusted Cardiology utilisation rates were 0.28% (Aboriginal, n = 97,080), 0.93% (non-Aboriginal, n = 1,720,041) and 1.37% (Welfare, n = 52,514), p = ,0.001]. The age distribution of the Aboriginal population was markedly different [2.7%$65 years of age, non-Aboriginal 10.7%], and comparable utilisation rates were obtained after adjustment for fiscal year and estimated life expectancy [Cardiology: Incidence Rate Ratio 0.66, Ophthalmology: IRR 0.85]. Discussion: The analysis revealed that Aboriginal people utilised subspecialty healthcare at a consistently lower rate than either comparatively economically disadvantaged groups or the general population. Notably, the differences were relatively invariant between the major provincial centres and over a nine year period. Addressing the causes of these discrepancies is essential for reducing marked health disparities, and so improving the health of Aboriginal people

Assessment of the level and distribution of health system responsiveness in Oyo State, Nigeria

Abstract Background Health systems need to be evaluated to ascertain if they are meeting their objectives. There is an increased interest in health system responsiveness (HSR) as a means to appraise health systems. This becomes vital as we put people at the centre of integrated health systems and put a premium on their rights and perspectives. Thus, this study assessed the levels, distribution and factors associated with HSR in Oyo State. Methods The study was a cross-sectional study with 717 adults, who had used an out-patient health facility in the preceding 12 months, interviewed using a semi-structured, interviewer-administered questionnaire. HSR was measured on a multi-domain and multi-item (7 domains and 20 items) 5-point Likert scale that was developed by the WHO to measure HSR globally. Summary scores were computed for level, distribution and the most important domains of HSR. Determinants of poor HSR were determined using binomial logistic regression. The level of statistical significance was set at 5%. Results The overall level of HSR was 47%. The highest-rated domains were confidentiality (72%), dignity (64%) and choice (60%), while the least rated were prompt attention (43%) and communication (52%). The overall distribution of HSR was 0.228 (range of 0 to 1) with the domains of prompt attention (0.595) and choice (0.506) being the most unequally distributed. The most important domains were communication, prompt attention and dignity. The least important domains were choice and confidentiality. The factors associated with poor HSR (overall) were no formal education, (OR = 2.81; 95% CI: 1.35–5.86), primary education as the highest level of education (OR = 2.19; 95% CI: 1.28–3.75), poor socioeconomic class (OR = 1.86; 95% CI: 1.23–2.80), using a government-owned facility (OR = 1.56; 95% CI: 1.11–2.19) and not using the usual health facility (OR = 1.69; 95% CI: 1.13–2.53). Conclusions The overall level of HSR in Oyo State was low with the domains of prompt attention, communication and autonomy being the least rated domains. Therefore, concerted efforts should be targeted at improving HSR as this will improve wellbeing, health system utilization, and the overall health system

Healthcare utilisation rates with adjustment of fiscal year and either chronological age or estimated life expectancy.

<p>Cessation of payments at age 65 precludes estimation of life expectancy for the welfare group.</p

Average age distributions of Albertan Aboriginal and non-Aboriginal populations from 1997–2006.

<p>Note the profound differences in longevity and the smaller proportions of Aboriginals over 65 years of age.</p