The impact of insurance instability on health service utilization: does non-metropolitan residence make a difference?

Effect of informal care on health care utilisation for the elderly in urban and rural China: evidence from China health and retirement longitudinal study (CHARLS)

Background

Receiving informal care from family members is the mainstream way of care for the elderly in China because of the influence of the culture of filial piety. However, the relationship between informal care and health care use in urban and rural areas needs to be further explored. This study aimed to understand the association between informal care and health care utilisation for the elderly and explore how this effect may differ between urban and rural China.

Method

A total of 5704 residents aged 65 years and above were selected from wave 3 (2015) and wave 4 (2018) of the China Health and Retirement Longitudinal Study, which is a nationally representative survey. A negative binomial regression model for the panel data was used to explore the relationship between informal care and health care utilisation. A fixed-effect binary choice model for panel data was used for the sensitivity test.

Result

The elderly who received informal care had increased in outpatient and inpatient visits compared with those who did not receive informal care. The inpatient visits of the elderly who received 15–29 days of informal care was higher than the elderly who did not receive informal care (incidence rate ratio [IRR] = 2.082, P < 0.05). Moreover, the elderly who received informal care for more than 30 days had 39.6% more inpatient visits (IRR = 1.396, P < 0.01) and 37.4% more outpatient visits than the elderly who did not receive informal care (IRR = 1.374, P < 0.05). For urban respondents, receiving informal care can facilitate outpatient use of the elderly, but for rural respondents, receiving informal care can predict an increase in outpatient and inpatient visits.

Conclusion

Informal care was associated with higher use of health services. The association between informal care and health care utilisation varies between rural and urban residents. These findings indicate the role of informal care and remind that relevant departments should pay attention to the differences in medical service utilisation levels amongst different elderly groups.

Outpatient health service utilization and associated factors: A cross-sectional population-based study in Tehran in 2019

Background: Health service utilization (HSU) is a significant health and political issue. Awareness of factors that affect HSU and the status of health service utilization can help health professionals improve their services. The aim of this study was to investigate the status of HSU and identify the factors affecting health service utilization among households residing in Tehran. Methods: The present cross-sectional study included 1200 residing households from different regions of Tehran, the capital of Iran. They were selected by a multi-stage cluster sampling method in accordance with the zoning of Tehran concerning socio-economic development. Interviews were conducted by trained individuals using a health service utilization questionnaire introduced by the World Health Organization, Zimet's social support questionnaire, and demographic checklist during winter 2018 and spring 2019. Simple and multiple logistic regression models were applied to analyze the data. In order to include the factors related to the status of outpatient health service utilization, a set of bivariate analyses was conducted, and then the factors with a p-value of ≤0.20 were included in the multiple models. Data were analyzed using Stata 12 software. Results: The results of the study indicated that the rate of outpatient HSU among households residing in Tehran was 63.61% (CI:60, 66.80). In addition, regarding the results of the study, asset index of family (OR=0.51, 95% CI: 0.28, 0.91), the level of awareness and knowledge of family members regarding health issues (OR=0.55, 95% CI: 0.34, 0.88) as well as the mother knowledge on health issues (OR=0.64, 95% CI: 0.45, 0.93), the level of social support (OR = 0.50, 95% CI: 0.37,0.68), family health expenditure (OR=1.20, 95% CI: 1.18, 4.06), having a member with a sort of disability in family (OR=1.66, 95% CI: 1.01, 2.77), and having an alcoholic member in family (OR=2.44, 95% CI: 1.27, 4.68) were factors associated with outpatient HSU among households. Considering the adjusted values of odds ratios, the prevalence of the HSU varied according to the area of residence. It should be noted that the variables included in the model explained 15% of the changes in the prevalence of HSU. Conclusion: According to the results of the study and in order to increase HSU in different classes, the level of social support, especially among women in the family due to their role in the general health of family members, should be enhanced. Also, policies should be adopted to increase the awareness, knowledge, and information of family members about health issues, lifestyle changes, nutrition, and health behaviors through social media.

Insurance instability and use of emergency and office-based care after gaining coverage: An observational cohort study

Background

The Affordable Care Act led to improvements in reporting a usual source of care, but it is unclear whether patients are changing their usual source of care in response to coverage gains. We assess whether prior insurance instability is associated with changes in use of emergency and office-based care after the Marketplace and Medicaid expansion were introduced.

Methods

Our study draws from the 2013–14 Medical Expenditure Panel Survey, identifying a cohort of non-elderly adults with full-year health insurance coverage in 2014. We use linear and multinomial logistic regression to assess the relationship between insurance instability prior to 2014 (uninsured for 1–11 months, ≥12 months) and person-level changes in use of health care after gaining coverage (change in ED and office visits from 2013 to 2014) with continuously insured individuals serving as a comparison group.

Results

Being uninsured for at least one year prior to gaining full-year coverage in 2014 was associated with a 33% increase in ED visits (0.06 visits, p<0.01) and a 47% increase in office visits (1.10 visits, p<0.01), driven by those gaining public coverage. We found no evidence of substitution across settings in the short term, often a stated goal of expansion.

Conclusion

The long-term uninsured may have substantial health needs and pent-up demand for health care, seeing more physicians across multiple settings in the year after gaining coverage as they seek to get unmanaged conditions under control. Closing the gap in primary care use between the previously uninsured and those with health insurance coverage may help improve long-term health outcomes.

Interruptions In Private Health Insurance And Outcomes In Adults With Type 1 Diabetes: A Longitudinal Study

Type 1 diabetes mellitus, which often originates during childhood, is a lifelong disease that requires intensive daily medical management. Because health care services are critical to patients with this disease, we investigated the frequency of interruptions in private health insurance, and the outcomes associated with them, for working-age adults with type 1 diabetes in the United States in the period 2001-15. We designed a longitudinal study with a nested self-controlled case series, using the Clinformatics Data Mart Database. The study sample consisted of 168,612 adults ages 19-64 with type 1 diabetes who had 2.6 mean years of insurance coverage overall. Of these adults, 24.3 percent experienced an interruption in coverage. For each interruption, there was a 3.6 percent relative increase in glycated hemoglobin. The use of acute care services was fivefold greater after an interruption in health insurance compared to before the interruption and remained elevated when stratified by age, sex, or diabetic complications. An interruption was associated with lower perceived health status and lower satisfaction with life. We conclude that interruptions in private health insurance are common among adults with type 1 diabetes and have serious consequences for their well-being.

Pediatric Orthopaedic Workforce in 2014: Current Workforce and Projections for the Future

BACKGROUND

The changing nature of the United States (US) health care system has prompted debate concerning the physician supply. The basic questions are: do we have an adequate number of surgeons to meet current demands and are we training the correct number of surgeons to meet future demands? The purpose of this analysis was to characterize the current pediatric orthopaedic workforce in terms of supply and demand, both present and future.

METHODS

Databases were searched (POSNA, SF Match, KID, MGMA) to determine the current pediatric orthopaedic workforce and workforce distribution, as well as pediatric orthopaedic demand.

RESULTS

The number of active Pediatric Orthopaedic Society of North America (POSNA) members increased over the past 20 years, from 410 in 1993 to 653 in 2014 (155% increase); however, the density of POSNA members is not equally distributed, but correlates to population density. The number of estimated pediatric discharges, orthopaedic and nonorthopaedic, has remained relatively stable from 6,348,537 in 1997 to 5,850,184 in 2012. Between 2003 and 2013, the number of pediatric orthopaedic fellows graduating from Accreditation Council for Graduate Medical Education and non-Accreditation Council for Graduate Medical Education programs increased from 39 to 50 (29%), with a peak of 67 fellows (71%) in 2009.

DISCUSSION

Although predicting the exact need for pediatric orthopaedic surgeons (POS) is impossible because of the complex interplay among macroeconomic, governmental, insurance, and local factors, some trends were identified: the supply of POS has increased, which may offset the expected numbers of experienced surgeons who will be leaving the workforce in the next 10 to 15 years; macroeconomic factors influencing demand for physician services, driven by gross domestic product and population growth, are expected to be stable in the near future; expansion of the scope of practice for POS is expected to continue; and further similar assessments are warranted.

LEVEL OF EVIDENCE

Level II-economic and decision analysis.

Effects of the Affordable Care Act's Dependent Coverage Mandate on Private Health Insurance Coverage in Urban and Rural Areas

PURPOSE

To evaluate the impact of the Affordable Care Act's (ACA) dependent coverage mandate on insurance coverage among young adults in metropolitan and nonmetropolitan areas.

METHODS

A cross-sectional analysis was conducted using data from 2006-2009 and 2011 waves of the Medical Expenditure Panel Survey. A difference-in-difference analysis was used to compare changes in full-year private health insurance coverage among young adults aged 19-25 years with an older cohort aged 27-34 years. Separate regressions were estimated for individuals in metropolitan and nonmetropolitan areas and were tested for a differential impact by area of residence.

FINDINGS

Full-year private health insurance coverage significantly increased by 9.2 percentage points for young adults compared to the older cohort after the ACA mandate (P = .00). When stratifying the regression model by residence area, insurance coverage among young adults significantly increased by 9.0 percentage points in metropolitan areas (P = .00) and 10.1 percentage points in nonmetropolitan areas (P = .03). These changes were not significantly different from each other (P = .82), which suggests the ACA mandate's effects were not statistically different by area of residence.

CONCLUSIONS

Although young adults in metropolitan and nonmetropolitan areas experienced increased access to private health insurance following the ACA's dependent coverage mandate, it did not appear to directly impact rural-urban disparities in health insurance coverage. Despite residents in both areas gaining insurance coverage, over one-third of young adults still lacked access to full-year health insurance coverage.

Differences in Women's Use of Medical Help for Becoming Pregnant by the Level of Urbanization of County of Residence in Georgia

PURPOSE

Our goal was to determine if there are differences by place of residence in visiting a doctor for help getting pregnant in a population-based study.

METHODS

Using data from the Furthering Understanding of Cancer, Health, and Survivorship in Adult (FUCHSIA) Women's Study, a cohort study of fertility outcomes in reproductive-aged women in Georgia, we fit models to estimate the association between geographic type of residence and seeking help for becoming pregnant.

FINDINGS

The prevalence of visiting a doctor for help getting pregnant ranged from 13% to 17% across geographic groups. Women living in suburban counties were most likely to seek medical care for help getting pregnant compared with women living in urbanized counties (adjusted prevalence ratio (aPR) = 1.14, 95% CI: 0.74-1.75); among women who reported infertility this difference was more pronounced (aPR = 1.59, 95% CI: 1.00-2.53). Women living in rural counties were equally likely to seek fertility care compared with women in urbanized counties in the full sample and among women who experienced infertility.

CONCLUSIONS

Women living in urban and rural counties were least likely to seek infertility care, suggesting that factors including but not limited to physical proximity to providers are influencing utilization of this type of care. Increased communication about reproductive goals and infertility care available to meet these goals by providers who women see for regular care may help address these barriers.