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在一项成熟的糖尿病视网膜病变筛查项目中,未参与者(DNA)的成本影响、贫困状况及地理人口细分分析

Cost implications, deprivation and geodemographic segmentation analysis of non-attenders (DNA) in an established diabetic retinopathy screening programme.

作者信息

Waqar Salman, Bullen Gill, Chant Simon, Salman Rabia, Vaidya Bijay, Ling Roland

机构信息

West of England Eye Unit, Royal Devon and Exeter NHS Foundation Trust, United Kingdom.

出版信息

Diabetes Metab Syndr. 2012 Oct-Dec;6(4):199-202. doi: 10.1016/j.dsx.2012.08.009. Epub 2012 Aug 24.

Abstract

AIM

To ascertain the relationship between socioeconomic status and non attendance alongside the role of geodemographic analysis in identifying reasons for non attendance. To also ascertain the financial implications of non attendance on the service.

METHODS

Retrospective analysis of DNA patients between April 2009 and March 2010. Cost to the service was calculated based on Devon Primary Care Trust tariffs. Deprivation Analysis was based on the Indices of Multiple Deprivation 2007 for England. Geodemographic analysis was done using a commercially available software (MOSAIC Public Sector, Experian Information Solutions Inc.).

RESULTS

22,651 patients were invited for screening with 20,514 screened and 2137 (9.4%) DNA's. Of these, 1757 (82.2%) were DNA 1's while 380 (17.7%) were DNA 2's. Mean age of screened patients was 68 (SD ±14.2), DNA 1's was 62 (SD ±17.3) and DNA 2's was 57 (SD ±18.7).1269 (59%) of DNA's were males and 868 (41%) were females. Cost to the service as calculated by lost earnings from missed appointments came to £78,259. Deprivation analysis showed increasing non attendance rates with increasing deprivation. Geodemographic segmentation analysis revealed that the lowest DNA rates were seen in successful professionals and active retired communities and the highest rates were seen in areas of social housing.

CONCLUSIONS

The study demonstrates an association between non attendance and socioeconomic deprivation. The use of geodemographic analysis programmes can help identify groups that do not respond to traditional postal reminders. More focused and customised strategies can then be developed for these groups to eliminate nonattendance.

摘要

目的

确定社会经济地位与未就诊之间的关系,以及地理人口分析在查明未就诊原因方面的作用。同时确定未就诊对服务造成的财务影响。

方法

对2009年4月至2010年3月期间爽约患者进行回顾性分析。根据德文郡初级医疗信托基金收费标准计算服务成本。贫困分析基于2007年英格兰多重贫困指数。地理人口分析使用商业软件(益百利信息解决方案公司的MOSAIC公共部门软件)完成。

结果

邀请了22651名患者进行筛查,20514人接受了筛查,2137人(9.4%)爽约。其中,1757人(82.2%)为首次爽约,380人(17.7%)为再次爽约。接受筛查患者的平均年龄为68岁(标准差±14.2),首次爽约者为62岁(标准差±17.3),再次爽约者为57岁(标准差±18.7)。爽约患者中1269人(59%)为男性,868人(41%)为女性。因预约未到而损失的收入计算得出的服务成本为78259英镑。贫困分析显示,随着贫困程度增加,未就诊率上升。地理人口细分分析表明,成功专业人士和活跃退休人员社区的爽约率最低,社会住房区的爽约率最高。

结论

该研究表明未就诊与社会经济贫困之间存在关联。使用地理人口分析程序有助于识别对传统邮寄提醒无反应的群体。然后可为这些群体制定更有针对性和个性化的策略,以消除未就诊现象。

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