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Published on: August 7, 2017
Using preceding hospital admissions to identify children at risk of developing acute rheumatic fever
Jane Oliver1, Tim Foster1, Deborah A Williamson2
1Department of Public Health, University of Otago Wellington, Wellington, New Zealand.
Insights
Hospitalizations can identify some children at high risk for acute rheumatic fever (ARF). The PAHHE group showed the highest sensitivity for detecting future ARF cases, suggesting its utility in housing intervention programs.
Area of Science:
- Public Health
- Epidemiology
- Pediatrics
Background:
- New Zealand (NZ) Māori and Pacific children experience high rates of acute rheumatic fever (ARF), a significant public health concern.
- National ARF prevention programs include housing improvement initiatives, necessitating effective tools for targeting high-risk populations.
- Identifying children at risk for ARF is crucial for maximizing the benefits of housing interventions.
Purpose of the Study:
- To evaluate the effectiveness of using hospitalizations as a tool to identify children at risk of developing ARF.
- To compare the sensitivity and efficiency of different potentially avoidable hospitalization (PAH) groups in detecting future ARF cases.
Main Methods:
- Analysis of NZ public hospital discharge data from 2000-2014.
- Investigation of three PAH groups: PAH conditions associated with the housing environment (PAHHE), Crowding, and Ministry of Health (MoH) conditions.
- Calculation of ARF prevalence within each PAH group to estimate sensitivity and number needed to screen (NNS) for efficiency.
Main Results:
- Approximately one-third of ARF patients had a prior PAH as children.
- Sensitivity for detecting future ARF varied significantly across groups, ranging from <5% (MoH) to 27% (PAHHE).
- The number needed to screen (NNS) to identify one ARF case was more efficient for the PAHHE group (502.4) compared to the MoH group (707.5).
Conclusions:
- Hospitalizations alone are not highly efficient for targeting ARF prevention due to the condition's relative rarity.
- The PAHHE group demonstrates potential utility in identifying children who may benefit from housing interventions.
- The hospital setting remains valuable for identifying at-risk children for broader health improvement programs, particularly those addressing housing-related conditions.
Aims:
New Zealand (NZ) Māori and Pacific children have high rates of acute rheumatic fever (ARF). Around 150 new cases arise each year. As part of the national ARF prevention programme, funding is available to improve housing. To obtain maximum benefit from interventions, an effective tool is needed for targeting high-risk children. This study aimed to assess the effectiveness of using hospitalisations for identifying children at risk of subsequent ARF.
Methods:
Three potentially avoidable hospitalisation (PAH) groups were investigated, including diseases thought to be influenced by housing. All were developed using expert opinion or systematic reviews. These were: (i) the PAH conditions associated with the housing environment (PAHHE) group; (ii) the Crowding group; and (iii) the Ministry of Health (MoH) group. We analysed NZ public hospital discharge data (2000-2014). The prevalence of ARF among patients hospitalised in each group was calculated to estimate sensitivity and potential effectiveness. The number needed to screen (NNS) to identify one ARF case was estimated as a measure of efficiency.
Results:
Nearly one-third of ARF patients experienced a PAH as children (before developing ARF). Sensitivity for detecting future ARF ranged from <5% (MoH group) to 27% (PAHHE group). NNS ranged from 502.4 (PAHHE) to 707.5 (MoH).
Conclusions:
Because ARF is relatively rare, observing hospitalisations is not particularly efficient for targeting prevention activities for this condition alone. However, housing interventions are likely to improve multiple outcomes; thus, the hospital setting is still useful for identifying at-risk children who could benefit from such programmes.
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