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A measure of trust in insurers.

机译:对保险公司的信任程度。

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BACKGROUND: Patient-centered assessments are increasingly important. Patients repeatedly emphasize the importance of trust in health care institutions and personnel. OBJECTIVES: (1) Develop a conceptual framework for trust in health care organizations and a comprehensive, reliable measure of trust in health insurers. (2) Examine predictors and correlates of trust in insurers. STUDY DESIGN: A conceptual framework for trust in health organizations based on theory and empirical studies was used to develop items for a structured telephone survey, which also included measures of health and utilization, doctor-patient trust, and satisfaction with care. Principal components factor analyses identified hypothesized domains of trust in health insurers and identified items for scales. Internal consistency assessment used Cronbach's alpha. Univariate analyses used Pearson's r or Student's t-tests. SAMPLE: Insured residents of Southeastern Michigan (n=400). RESULTS: Respondents were diverse in age, gender, ethnicity, health, and socioeconomic status. One dominant factor (eigenvalue>10) included hypothesized domains: administrative competence, clinical competence, advocacy and beneficence, fairness, honesty and openness, and one global item. Multidimensional scales were reliable (long version 13 items, alpha=0.95, short: 9 items, alpha=0.91). Insurer trust correlated strongly with trust in doctors (r=0.49 and 0.46) and satisfaction with care (r=0.70 and 0.66), and with an item assessing overall worry about health insurance (r=-0.37 and -0.35). Those with less trust in their insurer were more likely to say that they would change insurance plans (p<.001). CONCLUSIONS: This well-grounded, reliable measure of enrollee trust in insurers can be a useful patient-centered assessment tool.
机译:背景:以患者为中心的评估越来越重要。患者反复强调对医疗机构和人员信任的重要性。目标:(1)建立一个对医疗保健组织的信任的概念框架,以及对健康保险公司信任的全面,可靠的度量。 (2)检查保险公司的预测因素和信任关系。研究设计:基于理论和实证研究的对卫生组织信任的概念框架被用于开发结构性电话调查的项目,其中还包括健康和利用程度,医患信任和护理满意度。主成分因子分析确定了健康保险公司的假设信任域,并确定了规模项目。内部一致性评估使用Cronbach的alpha。单变量分析使用Pearson的r或Student的t检验。样本:密歇根州东南部的被保险居民(n = 400)。结果:受访者的年龄,性别,种族,健康状况和社会经济状况各不相同。一个主要因素(特征值> 10)包括假设的领域:行政能力,临床能力,拥护和受益,公平,诚实和开放,以及一项全球性项目。多维量表是可靠的(长版13个项目,alpha = 0.95,短版:9个项目,alpha = 0.91)。保险公司的信任与对医生的信任(r = 0.49和0.46)和对护理的满意度(r = 0.70和0.66)以及评估健康保险总体担忧的项目(r = -0.37和-0.35)密切相关。对保险公司的信任度较低的人更有可能说他们将更改保险计划(p <.001)。结论:这种有充分根据的,可靠的保险公司参保人信任度衡量方法可以成为有用的以患者为中心的评估工具。

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