MEASURING SATISFACTION LEVEL WITH HEALTH INSURANCE

Author(s)

Abd Rabuh A, Izham M
Qatar University, Doha, Qatar

OBJECTIVES: In an attempt to analyze the trend of increasing per capita spending on healthcare expenditure among employees and their families, we tried to measure the characteristics that could contribute to that. We set the spending as a function of satisfaction; whereas, knowing the characteristics of the insured people will help determine their satisfaction and, in turn, their spending pattern. In our hypothesis we tested the effect of demographics (i.e gender, ethnicity, age and education level) on satisfaction level. METHODS: After conducting exploratory interviews with administrators from both of the insurance company and the client, we realized that there has been complaints on several aspects of the medical claiming process. Initially, we classified these complaints into four constructs: process-design, financial aspects, prescriptions and service providers.  In order to have an unbiased data collection tool, an online survey questionnaire was sent to QU community of 2,044 staff and faculty and 373 responses were collected. RESULTS: The distribution of the satisfaction responses showed normality using a descriptive exploratory test. On a 4-scale ranging from 1=”Very Dissatisfied” to 4=”very satisfied”, the overall average of satisfaction recorded an average of 2.87 ± 0.64 showing a tendency toward satisfaction. The process design construct scored the highest with a 3.11 average. Conversely, lowest satisfaction was scored in the financial aspects construct where average of 2.59 and highest standard deviation (0.84) were scored.  CONCLUSIONS: T-test for gender and ethnicity characteristics and Oneway ANOVA test for age and education confirmed that there is no significant attribution to satisfaction by the aforementioned demographics. The study should apply the same tests on each construct individually to get more specific insights.

Conference/Value in Health Info

2016-05, ISPOR 2016, Washington DC, USA

Value in Health, Vol. 19, No. 3 (May 2016)

Code

PHP159

Topic

Patient-Centered Research

Topic Subcategory

Stated Preference & Patient Satisfaction

Disease

Multiple Diseases

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