关键词: Health Care Survey Marketing Segmentation Public Health Social Determinants of Health Social Marketing

来  源:   DOI:10.5210/ojphi.v14i1.11651   PDF(Pubmed)

Abstract:
Appending market segmentation data to a national healthcare knowledge, attitude and behavior survey and medical claims by geocode can provide valuable insight for providers, payers and public health entities to better understand populations at a hyperlocal level and develop cohort-specific strategies for health improvement. A prolonged use case investigates population factors, including social determinants of health, in depression and develops cohort-level management strategies, utilizing market segmentation and survey data. Survey response scores for each segment were normalized against the average national score and appended to claims data to identify at-risk segment whose scores were compared with three socio-demographically comparable but not at-risk segments via Nonparametric Mann-Whitney U test to identify specific risk factors for intervention. The marketing segment, New Melting Point (NMP), was identified as at-risk. The median scores of three comparable segments differed from NMP in \"Inability to Pay For Basic Needs\" (121% vs 123%), \"Lack of Transportation\" (112% vs 153%), \"Utilities Threatened\" (103% vs 239%), \"Delay Visiting MD\" (67% vs 181%), \"Delay/Not Fill Prescription\" (117% vs 182%), \"Depressed: All/Most Time\" (127% vs 150%), and \"Internet: Virtual Visit\" (55% vs 130%) (all with p<0.001). The appended dataset illustrates NMP as having many stressors (e.g., difficult social situations, delaying seeking medical care). Strategies to improve depression management in NMP could employ virtual visits, or pharmacy incentives. Insights gleaned from appending market segmentation and healthcare utilization survey data can fill in knowledge gaps from claims-based data and provide practical and actionable insights for use by providers, payers and public health entities.
摘要:
将市场细分数据附加到国家医疗保健知识中,通过地理编码进行的态度和行为调查以及医疗声明可以为提供者提供有价值的见解,付款人和公共卫生实体,以更好地了解超本地水平的人群,并制定针对特定队列的健康改善策略。一个长期的用例调查人口因素,包括健康的社会决定因素,在抑郁症和制定队列水平的管理策略,利用市场细分和调查数据。将每个细分市场的调查反应得分相对于全国平均得分进行归一化,并附上索赔数据,以识别风险细分市场,其得分通过非参数Mann-WhitneyU检验与三个社会人口统计学上可比但非风险细分市场进行比较,以确定干预的特定风险因素。营销部门,新熔点(NMP),被确定为有风险。三个可比部分的中位数得分与“无法满足基本需求”中的NMP不同(121%对123%),“缺乏运输”(112%对153%),“公用事业受到威胁”(103%对239%),“延迟访问MD”(67%对181%),“延迟/不填写处方”(117%对182%),“沮丧:所有/大多数时间”(127%对150%),和“互联网:虚拟访问”(55%对130%)(均p<0.001)。附加的数据集说明NMP具有许多应激源(例如,困难的社会情况,延迟寻求医疗护理)。改善NMP抑郁管理的策略可以采用虚拟访问,或药房激励措施。从附加市场细分和医疗保健利用调查数据中收集的见解可以填补基于索赔的数据中的知识空白,并提供实用和可操作的见解供提供商使用。付款人和公共卫生实体。
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