BackgroundThe vast majority (>75%) of Aboriginal people in the Northern Territory (NT) live in remote or very remote locations. Children in these communities have high attendance rates at local Primary Health Care (PHC) centres but there is a paucity of studies documenting the reason and frequency of attendance. Such data can be used to help guide public health policy and practice.Methods and FindingsClinic presentations during the first year of life were reviewed for 320 children born from 1 January 2001–31 December 2006. Data collected included reason for infectious presentation, antibiotic prescription and referral to hospital. The median number of presentations per child in the first year of life was 21 (IQR 15–29) with multiple reasons for presentation. The most prominent infectious presentations per child during the first year of life were upper respiratory tract infections (median 6, IQR 3–10 ); diarrhoea (median 3, IQR 1–5); ear disease (median 3, IQR 1–5); lower respiratory tract infection (median 3, IQR 2–5); scabies (median 3, IQR 1–5); and skin sores (median 3, IQR 2–5).ConclusionsInfectious diseases of childhood are strongly linked with poverty, poor living conditions and overcrowding. The data reported in our study were collected through manual review, however many remote communities now have established electronic health record systems, use the Key Performance Indicator System and are engaged in CQI (continuous quality improvement) processes. Building on these recent initiatives, there is an opportunity to incorporate routine monitoring of a range of infectious conditions (we suggest diarrhoea, LRTI, scabies and skin sores) using both the age at first presentation and the median number of presentations per child during the first year of life as potential indicators of progress in addressing health inequities in remote communities.

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Skin infections are a major reason for presentation to primary health clinics and contribute to the high disease burden experienced by children in the first 2 years of life. This high frequency of presentation provides multiple opportunities for intervention and monitoring.

The accuracy of haemoglobin concentration measurements is crucial for deriving global anaemia prevalence estimates and monitoring anaemia reduction strategies. In this analysis, we examined and quantified the factors affecting preanalytic and analytic variation in haemoglobin concentrations. Using cross-sectional data from three field studies (in children, pregnant and nonpregnant women), we examined the difference in haemoglobin concentration between venous-drawn and capillary-drawn blood measured by HemoCue (ie, preanalytic) and modelled how the bias observed may affect anaemia prevalence estimates in population surveys and anaemia public health severity classification across countries. Using data from an international quality assurance programme, we examined differences due to instrumentation from 16 different haematology analyzers (ie, analytic). Results indicated that capillary and venous haemoglobin concentrations are not in agreement (bias +5.7 g/L (limits of agreement (LoA) −11.2, 22.6) in preschool age children; range from −28 g/L to +20 g/L in pregnant women; bias +8.8 g/L (LoA −5.2, 22.9) in non-pregnant women). The bias observed could introduce changes in population survey estimates of anaemia of up to −20.7 percentage points in children and −28.2 percentage points in non-pregnant women after venous adjustment. Analytic variation was minimal and unlikely to influence the diagnosis of anaemia. These findings suggest that global estimates of anaemia prevalence derived from capillary haemoglobin, as they often are, may be inaccurate and lead to erroneous public health severity classification, but that point-of-care, or other, instruments should not introduce variation if properly used.