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利用疟疾相关就诊数据确定乌干达的医疗保健机构服务范围。

Determining health-care facility catchment areas in Uganda using data on malaria-related visits.

作者信息

Zinszer Kate, Charland Katia, Kigozi Ruth, Dorsey Grant, Kamya Moses R, Buckeridge David L

机构信息

Surveillance Lab, Clinical and Health Informatics Research Group, McGill University, 1040 Pine Avenue West, Montreal, Quebec, Canada H3A 1A3.

Uganda Malaria Surveillance Project, Kampala, Uganda .

出版信息

Bull World Health Organ. 2014 Mar 1;92(3):178-86. doi: 10.2471/BLT.13.125260. Epub 2014 Jan 10.

Abstract

OBJECTIVE

To illustrate the use of a new method for defining the catchment areas of health-care facilities based on their utilization.

METHODS

The catchment areas of six health-care facilities in Uganda were determined using the cumulative case ratio: the ratio of the observed to expected utilization of a facility for a particular condition by patients from small administrative areas. The cumulative case ratio for malaria-related visits to these facilities was determined using data from the Uganda Malaria Surveillance Project. Catchment areas were also derived using various straight line and road network distances from the facility. Subsequently, the 1-year cumulative malaria case rate was calculated for each catchment area, as determined using the three methods.

FINDINGS

The 1-year cumulative malaria case rate varied considerably with the method used to define the catchment areas. With the cumulative case ratio approach, the catchment area could include noncontiguous areas. With the distance approaches, the denominator increased substantially with distance, whereas the numerator increased only slightly. The largest cumulative case rate per 1000 population was for the Kamwezi facility: 234.9 (95% confidence interval, CI: 226.2-243.8) for a straight-line distance of 5 km, 193.1 (95% CI: 186.8-199.6) for the cumulative case ratio approach and 156.1 (95% CI: 150.9-161.4) for a road network distance of 5 km.

CONCLUSION

Use of the cumulative case ratio for malaria-related visits to determine health-care facility catchment areas was feasible. Moreover, this approach took into account patients' actual addresses, whereas using distance from the facility did not.

摘要

目的

阐述一种基于医疗设施利用情况来界定其服务区域的新方法的应用。

方法

采用累积病例比来确定乌干达六家医疗设施的服务区域,即来自小行政区的患者针对某一特定疾病对某一设施的实际利用与预期利用之比。利用乌干达疟疾监测项目的数据确定这些设施与疟疾相关就诊的累积病例比。还通过从设施出发的各种直线距离和道路网络距离来得出服务区域。随后,针对用这三种方法确定的每个服务区域计算1年累积疟疾病例率。

结果

1年累积疟疾病例率因界定服务区域所采用的方法不同而有很大差异。采用累积病例比方法时,服务区域可能包括不相邻的区域。采用距离方法时,分母随距离大幅增加,而分子仅略有增加。每千人口累积病例率最高的是卡姆韦齐设施:直线距离5公里时为234.9(95%置信区间,CI:226.2 - 243.8),累积病例比方法时为193.1(95%CI:186.8 - 199.6),道路网络距离5公里时为156.1(95%CI:150.9 - 161.4)。

结论

利用与疟疾相关就诊的累积病例比来确定医疗设施服务区域是可行的。此外,这种方法考虑了患者的实际住址,而仅依据与设施的距离则没有考虑这一点。

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