scholarly journals Effects of health insurance on patient demand for physician services

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jerome Dugan

Abstract Background In recent years, policymakers have sought to reduce health disparities between the insured and uninsured through a federal health insurance expansion policy; however, disparities continue to persist among the insured population. One potential explanation is that the use of healthcare services varies by the type of health insurance coverage due to differences in the design of coverage. The aim of this study is to examine whether health insurance coverage type is associated with the structure and use of healthcare services. Methods The nationally representative Medical Expenditure Panel Survey and multinomial logistic regression are used to estimate the effects of different types of health coverage on the combinations of routine and emergency care sought and received. Results The multinomial logistic regression analysis for the overall sample revealed privately insured respondents reported higher use of routine care only p < 0.01 and lower use of emergency room care only (− 2.13%; p < 0.01) than the uninsured. The publicly insured reported similar trends for use of routine care only (17.93%; p < 0.01) as the privately insured, as compared to the uninsured. Both the privately and publicly insured reported higher use of a mixture of care; however, publicly insured were more likely to use a mixture of care (8.57%, p < 0.01). Conclusion The results show that health insurance is associated with higher use of the physician services, but does not promote the use of cost-effective schedules of care among the publicly insured.

2014 ◽  
Vol 16 (3) ◽  
pp. 132-139 ◽  
Author(s):  
Alyssa Pozniak ◽  
Louise Hadden ◽  
William Rhodes ◽  
Sarah Minden

Background: Previous research suggests that most people with multiple sclerosis (MS) in the United States have health insurance. However, little is known about their coverage or how it differs between public and private insurance. We examined whether the perceived change in health insurance coverage from the previous year differs between individuals with MS who are privately insured compared with those who are publicly insured. Methods: We present descriptive statistics and odds ratios (ORs) from a multivariate logistic regression using data from the 2009 wave of the Sonya Slifka Longitudinal Multiple Sclerosis Study. Results: We found that individuals with Medicare were significantly less likely to perceive worse coverage compared with those with private health insurance (OR = 0.53; P &lt; .01). Individuals aged 55 to 64 years were more likely to perceive worse coverage than those aged 18 to 34 years (OR = 2.5; P &lt; .05), while the odds of perceiving worse coverage were significantly lower for individuals who had been diagnosed more than 15 years previously relative to those diagnosed in the past 2 years (OR = 0.48; P &lt; .05). Conclusions: Individuals with MS and other chronic illnesses who can choose between public and private insurance should be aware that there are important differences in perceptions of health insurance coverage between publicly and privately insured individuals.


2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Petula Fernandes ◽  
Emmanuel Kolawole Odusina ◽  
Bright Opoku Ahinkorah ◽  
Komlan Kota ◽  
Sanni Yaya

Abstract Background Despite the relationship between health insurance coverage and maternal healthcare services utilization, previous studies in Jordan on the use of maternal healthcare services have mainly focused on patterns and determinants of maternal healthcare services utilization in Jordan. Therefore, this study investigated the relationship between health insurance coverage and maternal healthcare services utilization in Jordan. Methods This study used secondary data published in 2017-18 Jordan Demographic and Health Survey on 4656 women of reproductive age (15–49 years). The independent variable was health insurance coverage and the outcome variable was maternal healthcare services utilization, measured through timing of first antenatal visit, four or more antenatal care visits, and skilled birth attendance. The data were analyzed using descriptive statistics and binary logistic regression. Results Out of the total number of women who participated in the study, 38.2% were not covered by health insurance. With maternal healthcare utilization, 12.5%, 23.2%, and 10.1% respectively, failed to make early first antenatal care visit, complete four or more antenatal care visits and have their delivery attended by a skilled worker. After controlling for the socio-demographic factors, health insurance coverage was associated with increased odds of early timing of first antenatal care visits and completion of four or more antenatal care visits (aOR = 1.33, p < 0.05, aOR = 1.25, p < 0.01, respectively). However, women who were covered by health insurance were less likely to use skilled birth attendance during delivery (aOR = 0.72 p < 0.001). Conclusions Jordanian women with health insurance coverage were more likely to have early first antenatal care visits and complete four or more antenatal care visits. However, they were less likely to have their delivery attended by a skilled professional. This study provides evidence that health insurance coverage has contributed to increased maternal healthcare services utilization, only in terms of number and timing of antenatal care visits in Jordan. It is recommended that policy makers in Jordan should strengthen the coverage of health insurance in the country, especially among women of reproductive age in order to enhance the use of maternal healthcare services in the country.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Jorge Garcia-Ramirez ◽  
Zlatko Nikoloski ◽  
Elias Mossialos

Abstract Background Since the early 1990s, Colombia has made great strides in extending healthcare coverage to its population. In order to measure the impact of these efforts, it is important to assess whether the introduction of universal health coverage has translated into equitable access to healthcare in the country, particularly for the elderly. Thus, in this study we assessed the inequality in utilization of health services among elderly patients in Colombia. In addition, we identified the determinants of healthcare utilization. Methods We analyzed the 2015 Colombian health, well-being and aging study (SABE). To classify determinants of healthcare use into predisposing, enabling and need factors, we employed the Anderson framework of healthcare utilization. Use of outpatient, inpatient and preventive health services constituted the dependent variables. We performed multivariate logistic regressions, estimated concentration indexes (CI) and performed decomposition analyses of the CIs to determine the contribution of various determinants to inequality of healthcare utilization. Results The study sample included 23,694 adults over 60-years-old. Wealth quintile, urban dwelling, health insurance type and multimorbidity predicted the utilization of all types of healthcare services except for hospitalization. Aside from inpatient care, pro-rich inequality in utilization of healthcare services was present. Wealth quintile and type of health insurance were the largest contributors to pro-rich inequality in use of preventive services. Conclusions While there has been progress in health insurance coverage for the elderly in Colombia, there are still equality challenges in the delivery of healthcare, especially for preventive and outpatient care. These inequalities are driven by individual characteristics such as wealth, urban residence, type of health insurance carried, and presence of multimorbidity. To address this issue, the Colombian health system should extend health insurance coverage to uninsured populations, as well as reduce barriers of access to healthcare services among poorest and the rural population receiving subsidized insurance.


2020 ◽  
Vol 16 ◽  
pp. 62-76
Author(s):  
George N. Mose ◽  
Joseph Abuga Orayo

Promotion of maternal healthcare services through the expansion of health insurance coverage has been a core strategy that has been adopted in the reduction of maternal and child mortalities in Kenya. In this study, we seek to establish how health insurance coverage and benefits influence the demand for maternal health utilization in private hospitals in Kenya. The study utilized the latest Kenya Demographic Household Survey 2014 data to estimate the relationship. The binary probit regression model was employed in estimation. From the findings, only 15 percent of mothers were enrolled in a health insurance plan, whereas 14 percent of the women reported to have attended antenatal clinics in private health facilities, and 13 percent benefited from skilled delivery in private healthcare facilities. Results further revealed that health insurance ownership led to a significant increase in the likelihood of utilizing maternal health care services in private hospitals in Kenya. Similarly, age of the mother, marital status, birth order, higher education level, all wealth index categories, and employment status were cofactors associated significantly with use of healthcare services. It was concluded that the advent and increase of health insurance coverage is associated with a significant rise in demand of maternal healthcare services in private hospitals. This study argues that the current health subsidies would be more effective if they were channeled through health insurance with wider coverage of private hospitals. The study recommends reforms in policies and guidelines governing insurance coverage, which we argue would significantly bring down the cost of insurance coverage, thus become more accessible to more Kenyans.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
James Mulenga ◽  
Mulenga C. Mulenga ◽  
Katongo M. C. Musonda ◽  
Chilizani Phiri

Abstract Background Health insurance is an essential aspect of healthcare. This is because it enables the insured to acquire timely and essential healthcare services, besides offering financial protection from catastrophic treatment costs. This paper seeks to establish gender differentials and determinants of health insurance coverage in Zambia. Methods The data used in this study was obtained from the 2018 Zambia Demographic and Health Survey. Data were analyzed using STATA 13.0 software and focused on descriptive and Probit regression analyses. Results The study reveals that for women and men, age, wealth category, education, and professional occupation are positively associated with health insurance while being self-employed in the agricultural sector negatively influences health insurance coverage for both sexes. Other variables have gender-specific effects. For instance, being in marital union and having a clerical occupation increases the probability of having health insurance for women while being in the services, skilled, and unskilled manual occupations increases the probability of having health insurance for men. Further, residing in rural areas reduces the probability of having health insurance for men. Conclusion The study concludes that there are differences in factors that influence health insurance between women and men. Hence, this study highlights the need to enhance health insurance coverage by addressing the different factors that influence health insurance coverage among men and women. These factors include enhancing education, job creation, diversifying insurance schemes, and gender consideration in the design of National Health Insurance Scheme.


Author(s):  
Samuel H Zuvekas ◽  
Earle Buddy Lingle ◽  
Ardis Hanson ◽  
Bruce Lubotsky Levin

The complexity of US healthcare systems is staggering. In 2015, Americans spent approximately $3.7 trillion on healthcare, averaging almost $10,000 per person. Further, Americans rely on a mixture of public and private health insurance coverage to pay for the bulk of the healthcare services they receive. To provide a better understanding of the financing of healthcare in the United States, this chapter examines major government healthcare programs and funding. It begins with a look at the US public health insurance system and the healthcare “safety net,” comprised of a patchwork of public, private, and philanthropic providers and programs. The next sections look at how US insurers and families pay doctors, hospitals, nursing homes, and other healthcare providers to deliver services in the United States and how pharmacy services are financed in public health.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Caiwei Zheng ◽  
Alberto J. Caban-Martinez

Abstract Objective In the U.S., health insurance is a crucial determinant of the affordability of healthcare services and access to care. Population-based studies indicate Americans do not have an adequate understanding of their insurance plans and face difficulties navigating their health insurance coverage. The purpose of this pilot study is to collect qualitative data using a key informant interview format to learn about the acceptability, feasibility and implementation of a newly devised online health insurance navigation tool (HINT). Results A total of 57 Florida residents completed the 18-item HINT web-based survey tool and provided feedback on their experience, of which 63.2% were women, 40.7% Black race, and had average sample age of 46.9 years. Participants reported the web tool to be of good length, easy readability, relevant, and overall helpful for insurance selection. All respondents reported that they would use the tool themselves should they find themselves in the process of selecting an insurance plan and 98.2% of respondents reported that they would suggest the web tool to a family or friend. The average time it took to complete the questionnaire was 4 min and 20 s.The HINT tool met study criteria on feasibility, implementation, and acceptability among study participants.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bonita Salmeron ◽  
Lohuwa Mamudu ◽  
Xiaohui Liu ◽  
Martin Whiteside ◽  
Faustine Williams

Abstract Background Tennessee women experience the 12th highest breast cancer mortality in the United States. We examined the geographic differences in breast cancer incidence in Tennessee between Appalachian and non-Appalachian counties from 2005 to 2015. Methods We used ArcGIS 10.7 geospatial analysis and logistic regression on the Tennessee Cancer Registry incidence data for adult women aged ≥ 18 years (N = 59,287) who were diagnosed with breast cancer from 2005 to 2015 to evaluate distribution patterns by Appalachian county designation. The Tennessee Cancer Registry is a population-based, central cancer registry serving the citizens of Tennessee and was established by Tennessee law to collect and monitor cancer incidence. The main outcome was breast cancer stage at diagnosis. Independent variables were age, race, marital status, type of health insurance, and county of residence. Results Majority of the sample were White (85.5%), married (58.6%), aged ≥ 70 (31.3%) and diagnosed with an early stage breast cancer (69.6%). More than half of the women had public health insurance (54.2%), followed by private health insurance coverage (44.4%). Over half of the women resided in non-Appalachian counties, whereas 47.6% were in the Appalachian counties. We observed a significant association among breast cancer patients with respect to marital status and type of health insurance coverage (p =  < 0.0001). While the logistic regression did not show a significant result between county of residence and breast cancer incidence, the spatial analysis revealed geographic differences between Appalachian and non-Appalachian counties. The highest incidence rates of 997.49–1164.59/100,000 were reported in 6 Appalachian counties (Anderson, Blount, Knox, Rhea, Roane, and Van Buren) compared to 3 non-Appalachian counties (Fayette, Marshall, and Williamson). Conclusions There is a need to expand resources in Appalachian Tennessee to enhance breast cancer screening and early detection. Using geospatial techniques can further elucidate disparities that may be overlooked in conventional linear analyses to improve women’s cancer health and associated outcomes.


2021 ◽  
Vol 6 (1) ◽  
pp. e000640
Author(s):  
Erica Sercy ◽  
Therese M Duane ◽  
Mark Lieser ◽  
Robert M Madayag ◽  
Gina Berg ◽  
...  

BackgroundIncreased unemployment during the COVID-19 pandemic has likely led to widespread loss of employer-provided health insurance. This study examined trends in health insurance coverage among trauma patients during the COVID-19 pandemic, including differences in demographics and clinical characteristics by insurance type.MethodsThis was a retrospective study on adult patients admitted to six level 1 trauma centers between January 1, 2018 and June 30, 2020. The primary exposure was hospital admission date: January 1, 2018 to December 31, 2018 (Period 1), January 1, 2019 to March 15, 2020 (Period 2), and March 16, 2020 to June 30, 2020 (Period 3). Covariates included demographic and clinical variables. χ² tests examined whether the rates of patients covered by each insurance type differed between the pandemic and earlier periods. Mann-Whiney U and χ² tests investigated whether patient demographics or clinical characteristics differed within each insurance type across the study periods.ResultsA total of 31 225 trauma patients admitted between January 1, 2018 and June 30, 2019 were included. Forty-one per cent (n=12 651) were admitted in Period 1, 49% (n=15 258) were from Period 2, and 11% (n=3288) were from Period 3. Percentages of uninsured patients increased significantly across the three periods (Periods 1 to 3: 15%, 16%, 21%) (ptrend=0.02); however, there was no accompanying decrease in the percentages of commercial/privately insured patients (Periods 1 to 3: 40%, 39%, 39%) (ptrend=0.27). There was a significant decrease in the percentage of patients on Medicare during the pandemic period (Periods 1 to 3: 39%, 39%, 34%) (p<0.01).DiscussionThis study found that job loss during the COVID-19 pandemic resulted in increases of uninsured trauma patients. However, there was not a corresponding decrease in commercial/privately insured patients, as may have been expected; rather, a decrease in Medicare patients was observed. These findings may be attributable to a growing workforce during the study period, in combination with a younger overall patient population during the pandemic.Level of evidenceRetrospective, level III study.


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