Environmental Medicine (Dr Korfmacher) and Center for Community Health and Prevention (Dr Holt), University of Rochester Medical Center, Rochester, New York.
J Public Health Manag Pract. 2018 Sep/Oct;24(5):444-447. doi: 10.1097/PHH.0000000000000757.
Municipal housing inspection data can inform planning, targeting, and evaluating interventions aimed at reducing housing hazards (lead paint, mold, pests, etc) that may affect residents' health. However, the potential of these data to inform public health initiatives is underexplored. We determined whether home health hazards identified by city inspectors during proactive inspections of single-family private rental housing are predicted by housing age, assessed value, or location in one of 26 geographic "inspector areas" in Rochester, New York. A comparison of linear mixed models, using housing inspector area as a random effect and assessment and construction year as fixed effects, shows that while a large proportion of variation (64%) in violations is due to housing stock, inspectors provide significant additional information about the presence of potential health hazards, particularly in the highest-risk housing stock. This suggests that inspector-generated housing hazard data may be valuable in designing public health interventions.
城市住房检查数据可以为规划、目标制定和评估干预措施提供信息,这些干预措施旨在减少可能影响居民健康的住房危害(如铅涂料、霉菌、害虫等)。然而,这些数据在公共卫生计划中的潜力尚未得到充分探索。我们确定了在罗切斯特市(美国纽约州)的 26 个地理“检查员区域”之一对单户私人出租住房进行主动检查时,城市检查员发现的家庭健康危害是否可以通过住房年龄、评估价值或位置来预测。使用住房检查员区域作为随机效应,评估和建筑年份作为固定效应的线性混合模型比较表明,尽管违规行为的很大一部分(64%)是由于住房存量造成的,但检查员提供了有关潜在健康危害存在的重要补充信息,特别是在风险最高的住房存量中。这表明检查员生成的住房危害数据可能对设计公共卫生干预措施具有重要价值。