Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
Division of General Surgery, St Joseph's Healthcare, Hamilton, Ontario, Canada.
Br J Surg. 2017 Jun;104(7):891-897. doi: 10.1002/bjs.10517. Epub 2017 Apr 4.
In countries with universal health coverage, the delivery of care should be driven by need. However, other factors, such as proximity to local facilities or neighbourhood socioeconomic status, may be more important. The objective of this study was to evaluate which geographic and socioeconomic factors affect the delivery of bariatric care in Canada.
This was a national retrospective cohort study of all adult patients undergoing bariatric surgery between April 2008 and March 2015 in Canada (excluding Quebec). The main outcome was neighbourhood rate of bariatric surgery per 1000 obese individuals (BMI over 30 kg/m ). Geographic cluster analysis and multilevel ordinal logistic regression were used to identify high-use clusters, and to evaluate the effect of geographic and socioeconomic factors on care delivery.
Having a bariatric facility within the same public health unit as the neighbourhood was associated with a 6·6 times higher odds of being in a bariatric high-use cluster (odds ratio (OR) 6·60, 95 per cent c.i. 1·90 to 22·88; P = 0·003). This finding was consistent across provinces after adjusting for utilization rates. Neighbourhoods with higher obesity rates were also more likely to be within high-use clusters (OR per 5 per cent increase: 2·95, 1·54 to 5·66; P = 0·001), whereas neighbourhoods closer to bariatric centres were less likely to be (OR per 50 km: 0·91, 0·82 to 1·00; P = 0·048).
In this study, across provincial healthcare systems with high and low utilization, the delivery of care was driven by the presence of local facilities and neighbourhood obesity rates. Increasing distance to bariatric centres substantially influenced care delivery.
在全民医保的国家,医疗服务的提供应基于需求。然而,其他因素,如靠近当地医疗机构或社区的社会经济地位,可能更为重要。本研究旨在评估哪些地理和社会经济因素会影响加拿大的减重手术服务提供。
这是一项在加拿大进行的全国性回顾性队列研究,纳入了 2008 年 4 月至 2015 年 3 月期间所有接受减重手术的成年患者(魁北克省除外)。主要结局是每 1000 名肥胖个体(BMI 超过 30kg/m²)所在社区的减重手术率。采用地理聚类分析和多水平有序逻辑回归来识别高使用率聚类,并评估地理和社会经济因素对医疗服务提供的影响。
社区所在的同一公共卫生单位拥有减重设施与处于高使用率聚类的可能性增加 6.6 倍相关(比值比 6.60,95%置信区间 1.90 至 22.88;P=0.003)。在调整了利用率后,这一发现在各省之间仍然一致。肥胖率较高的社区也更有可能处于高使用率聚类中(每增加 5%肥胖率的比值比:2.95,1.54 至 5.66;P=0.001),而靠近减重中心的社区则不太可能处于高使用率聚类中(每增加 50 公里的比值比:0.91,0.82 至 1.00;P=0.048)。
在这项研究中,在利用率高和低的省级医疗体系中,医疗服务的提供受当地设施和社区肥胖率的驱动。距离减重中心的距离增加会显著影响医疗服务的提供。