Health insurance status, lifestyle choices and the presence of non-communicable diseases: a systematic review.

BACKGROUND: Although health insurance (HI) has effectively mitigated healthcare financial burdens, its contribution to healthy lifestyle choices and the presence of non-communicable diseases (NCDs) is not well established. We aimed to systematically review the existing evidence on the effect of HI on healthy lifestyle choices and NCDs. METHODS: A systematic review was conducted across PubMed, Medline, Embase, Cochrane Library and CINAHLComplet@EBSCOhost from inception until 30 September 2022, capturing studies that reported the effect of HI on healthy lifestyle and NCDs. A narrative synthesis of the studies was done. The review concluded both longitudinal and cross-sectional studies. A critical appraisal checklist for survey-based studies and the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies were used for the quality assessment. RESULT: Twenty-four studies met the inclusion criteria. HI was associated with the propensity to engage in physical activities (6/11 studies), consume healthy diets (4/7 studies), not to smoke (5/11 studies) or take alcohol (5/10 studies). Six (of nine) studies showed that HI coverage was associated with a lowered prevalence of NCDs. CONCLUSION: This evidence suggests that HI is beneficial. More reports showed that it propitiated a healthy lifestyle and was associated with a reduced prevalence of NCDs.

Effects of medical insurance system on the hospitalization cost of acute myocardial infarction patients.

BACKGROUND: Acute myocardial infarction is still a burden on Chinese patients. Whether different medical insurance system have any influence on the hospitalization cost and therapeutic effect of acute myocardial infarction patient needs further investigation. METHOD: In this study, 600 patients were stratified by health insurance status to investigate the cost effectiveness. RESULT: Compared with free medical care, patients with other health insurance status have a significantly lower age (P Ë‚ 0.05-0.001), the youngest of which is new rural cooperative medical system. The hospital expense, nursing fee, length of stay, daily hospitalization cost, daily drug cost, daily nursing cost and percent of nursing cost of different health insurance status were statistically significant. ANCOVA analyses controlling for age showed that the differences of hospital expenses, nursing fee, length of stay and daily hospitalization cost were still statistically significant. Further studies found that health insurance status was the leading factors influencing length of stay (ß = - 0.305, P = 0.0000001), nursing costs (ß = - 0.319, P = 0.004), daily hospitalization costs (ß = 0.296, P = 0.0001) and occurrence of clinical events (ß = - 0.186, OR = 0.830, 95% CI 0.694-0.993, P = 0.041). CONCLUSIONS: The hospitalization cost, length of stay, nursing work and therapeutic effect of acute myocardial infarction patients are affected by different health insurance status and age.

Association between the health insurance status and clinical outcomes among patients with acute heart failure in Japan.

The relationship between the socioeconomic status, including the health insurance status, and prognosis of heart failure (HF) has been recognized as an important concept for stratifying the risk in HF patients and is gaining increasing attention worldwide even in countries with a universal healthcare system. However, the impact of the Japanese health insurance status on outcomes among patients admitted for acute HF has not been fully clarified. We enrolled 771 patients admitted for acute HF between January 2018 and December 2019 and collected data on the in-hospital mortality, length of the hospital stay, and cardiac events, defined as cardiovascular death and readmission for HF within 1 year after discharge. Patients were divided into two groups according to their insurance status, i.e., public assistance (n = 87) vs. other insurance (n = 684). The public assistance group was significantly younger and had a higher rate of diabetes, smoking, ischemic and hypertensive heart disease, and low estimated glomerular filtration rate (all P < 0.05). Pharmacological/invasive heart failure therapy, in-hospital mortality, and the 90-day cardiac event rate after discharge did not differ between the groups. However, the public assistance group had a significantly higher 1-year cardiac event rate than the other insurance groups (P = 0.025). After adjusting for covariates, public assistance was independently associated with the 1-year cardiac event rate (HR: 2.15, 95% CI: 1.42-3.26, P < 0.001). Acute HF patients covered by public assistance received the same quality of medical care, including invasive therapy. As a result, no health disparities were found in terms of the in-hospital mortality and 90-day cardiac event rate, unlike overseas surveys. Nevertheless, HF patients with public assistance had a higher risk for the long-term prognosis than those with other insurance. Comprehensive HF management is required post-discharge.

Oral cancer patients achieve comparable survival at high safety-net burden hospitals.

PURPOSE: To evaluate the impact of hospital safety-net burden and social demographics on the overall survival of patients with oral cavity squamous cell carcinoma. MATERIALS AND METHODS: We identified 48,176 oral cancer patients diagnosed between the years 2004 to 2015 from the National Cancer Database and categorized treatment facilities as no, low, or high safety-net burden hospitals based on the percentage of uninsured or Medicaid patients treated. Using the Kaplan Meier method and multivariate analysis, we examined the effect of hospital safety-net burden, sociodemographic variables, and clinical factors on overall survival. RESULTS: Of the 1269 treatment facilities assessed, the median percentage of uninsured/Medicaid patients treated was 0% at no, 11.6% at low, and 23.5% at high safety-net burden hospitals and median survival was 68.6, 74.8, and 55.0 months, respectively (p < 0.0001). High safety-net burden hospitals treated more non-white populations (15.4%), lower median household income (<$30,000) (23.2%), and advanced stage cancers (AJCC III/IV) (54.6%). Patients treated at low (aHR = 0.97; 95% CI = 0.91-1.04, p = 0.405) and high (aHR = 1.05; 95% CI = 0.98-1.13, p = 0.175) safety-net burden hospitals did not experience worse survival outcomes compared to patients treated at no safety-net burden hospitals. CONCLUSION: High safety-net burden hospitals treated more oral cancer patients of lower socioeconomic status and advanced disease. Multivariate analysis showed high safety-net burden hospitals achieved comparable patient survival to lower burden hospitals.

Effects of insurance status on long-term survival among non-small cell lung cancer (NSCLC) patients in Beijing, China: A population-based study.

OBJECTIVE: To evaluate the effects of health insurance status on long-term cancer-specific survival of non-small cell lung cancer (NSCLC) in Beijing, China, using a population-based cancer registry data. METHODS: Information on NSCLC patients diagnosed in 2008 was derived from the Beijing Cancer Registry. The medical records of 1,134 cases were sampled and re-surveyed to obtain information on potential risk factors. Poorly-insured status was defined as Uninsured and New Rural Cooperative Medical Insurance Scheme (NRCMS), while well-insured included Urban Employees Basic Medical Insurance (UEBMI) and Free Medical Care (FMC). To estimate survival outcomes, individuals were followed-up until December 31, 2018. Cancer-specific survival probabilities at 5 and 10 years after diagnosis were estimated using the Kaplan-Meier method. Log-rank test was used to compare long-term survival with different characteristics. Multivariable Cox proportional hazard regression model was used to examine the relative effect of insurance status on cancer-specific mortality. RESULTS: Well-insured NSCLC patients have longer cancer-specific survival than poorly-insured individuals [hazard ratio (HR)=0.81; 95% confidence interval (95% CI): 0.67-0.97), even after adjusting for age, gender, cancer stage, smoking status, family history and residential area. Older age and rural residence were associated with a higher risk of cancer-specific mortality (HR=1.03; 95% CI: 1.02-1.03 and HR=1.25; 95% CI: 1.07-1.46, respectively). Smoking individuals had a 41% higher long-term cancer-specific mortality risk than non-smoking ones (HR=1.41; 95% CI: 1.20-1.66). CONCLUSIONS: NSCLC patients with good insurance status had better survival rates than those with poor insurance. An association was significant even after 10 years. Large population-based studies are needed to validate that high reimbursement insurance status can lead to the improvement of long-term cancer prognosis in China.

Association of Health Insurance Status and Vaccination Coverage among Adolescents 13-17 Years of Age.

OBJECTIVE: To assess selected vaccination coverage among adolescents by health insurance status and other access-to-care characteristics. STUDY DESIGN: The 2015 National Immunization Survey-Teen data were used to assess vaccination coverage disparities among adolescents by health insurance status and other access-to-care variables. Multivariable logistic regression analysis and a predictive marginal modeling were conducted to evaluate associations between health insurance status and vaccination coverage. RESULTS: Overall, vaccination coverage was significantly lower among uninsured compared with insured adolescents for all vaccines assessed for except ≥3 doses of human papillomavirus vaccine (HPV) among male adolescents. Among adolescents 13-17 years of age, vaccination of uninsured compared with insured adolescents, respectively, for tetanus toxoid, reduced content diphtheria toxoid, and acellular pertussis vaccine was 77.4% vs 86.8%; for ≥1 dose of meningococcal conjugate vaccine was 72.9% vs 81.7%; for ≥1 dose of HPV was 38.8% vs 50.2% among male and 42.9% vs 63.8% among female adolescents; for 3 doses of HPV was 24.9% vs 42.8% among female adolescents. In addition, vaccination coverage differed by the following: type of insurance among insured adolescents, having a well-child visit at 11-12 years of age, and number of healthcare provider contacts in the past year. Uninsured were less likely than insured adolescents to be vaccinated for HPV (female: ≥1 dose and 3 doses; and male: ≥1 doses) after adjusting for confounding variables. CONCLUSIONS: Overall, vaccination coverage was lower among uninsured adolescents. HPV vaccination coverage was lower than tetanus toxoid, reduced content diphtheria toxoid, and acellular pertussis vaccine Tdap and meningococcal conjugate vaccine in both insured and uninsured adolescents. Wider implementation of effective evidence-based strategies is needed to help improve vaccination coverage among adolescents, particularly for those who are uninsured. Limitation of current federally funded vaccination programs or access to healthcare would be expected to erode vaccine coverage of adolescents.

Effect of insurance status on perioperative outcomes after robotic pancreaticoduodenectomy: a propensity-score matched analysis.

The influence of Medicaid or being uninsured is prevailingly thought to negatively impact a patient's socioeconomic and postoperative course, yet little has been published to support this claim specifically in reference to robotic pancreaticoduodenectomy. This study was undertaken to determine impact of health insurance type on perioperative outcomes in patients undergoing robotic pancreaticoduodenectomy. Following IRB approval, we prospectively followed 364 patients who underwent robotic pancreaticoduodenectomy. Patients were stratified by insurance status (i.e., Private, Medicare, and Medicaid/Uninsured); 100 patients were 2:2:1 propensity-score matched by age, BMI, ASA class, pathology, 8th edition AJCC staging, and tumor size. Perioperative variables were compared utilizing contingency testing and ANOVA. Statistical significance was accepted at a p-value ≤ 0.05 and data are presented as median (mean ± SD). The 100 patients undergoing propensity-score matching were 64 (65 ± 9.1) years old with a BMI of 27 (27 ± 4.9) kg/m2 and ASA class of 3 (3 ± 0.5). Operative duration was 421 (428 ± 105.9) minutes and estimated blood loss was 200 (385 ± 795.0) mL. There were 4 in-hospital deaths and 8 readmissions within 30 days of discharge. Total hospital cost was $32,064 (38,014 ± 22,205.94). After matching, no differences were found in pre-, intra-, and short-term postoperative variables among patients with different insurances, including hospital cost and time to initiate adjuvant treatment, which was 8 (9 ± 7.9) weeks for patients with malignant disease. In our hepatopancreaticobiliary program, health insurance status did not impact perioperative outcomes or hospital costs. These findings highlight that financial coverage does not influence quality of perioperative care, reinforcing the equity of robotic surgery.

A Qualitative Analysis of Access to Healthcare Among African American Adults in South Carolina.

Access to healthcare is a Social Determinant of Health that is associated with public health outcomes and barriers to access disproportionately affect African American adults. This study used a health and financial literacy approach to qualitatively assess how African American adults access healthcare and potential barriers faced (n = 20). Results indicated a wide range of experiences generally split between positive and negative experiences in access to healthcare. Specific themes that emerged included scheduling issues and appointment availability, expense of care, lack of transparency in insurance coverage, the need for more primary care clinics and enhanced community outreach and education on how to access healthcare. This research identifies a need for increased education surrounding health insurance coverage and an identified need for more local physicians or ease of scheduling. All participants in this study stated they were covered by health insurance of some form. Future research should examine these issues in the context of socioeconomic and insurance status.

Survival outcomes for head and neck patients with Medicaid: A health insurance paradox.

PURPOSE: Privately insured patients with head and neck cancer (HNC) typically have better outcomes; however, differential outcome among Medicaid versus the uninsured is unclear. We aimed to describe outcome disparities among HNC patients uninsured versus on Medicaid. METHODS: A cohort of 18-64-year-old adults (n = 57 920) with index HNC from the Surveillance, Epidemiology, and End Results 18 database (2007-2015) was analyzed using Fine and Gray multivariable competing risks proportional hazards models for HNC-specific mortality. RESULTS: Medicaid (sdHR = 1.65, 95% CI 1.58, 1.72) and uninsured patients (sdHR = 1.55, 95% CI 1.46, 1.65) had significantly greater mortality hazard than non-Medicaid patients. Medicaid patients had increased HNC mortality hazard than those uninsured. CONCLUSION: Compared with those uninsured, HNC patients on Medicaid did not have superior survival, suggesting that there may be underlying mechanisms/factors inherent in this patient population that could undermine access to care benefits from being on Medicaid.

Insurance status, stage of presentation, and survival among female patients with head and neck cancer.

OBJECTIVES: Incidence trends and outcomes of head and neck cancer (HNC) among female patients are not well understood. The objective of this study was to estimate incidence trends and quantify the association between health insurance status, stage at presentation, and survival among females with HNC. STUDY DESIGN: Retrospective cohort study. METHODS: The Surveillance, Epidemiology, and End Results database (2007-2014) was queried for females aged ≥18 years diagnosed with a malignant primary head and neck cancer (HNC) (n = 18,923). Incidence trends for stage at presentation were estimated using Joinpoint regression analysis. The association between health insurance status and stage at presentation on overall and disease-specific survival was estimated using Fine and Gray proportional hazards models. RESULTS: Incidence of stage IV HNC rose by 1.24% from 2007 to 2014 (annual percent change = 1.24, 95% CI 0.30, 2.20). Patients with Medicaid (adjusted odds ratio [aOR] = 1.59, 95% confidence interval [CI] 1.45, 1.74) and who were uninsured (aOR = 1.73, 95% CI 1.47, 2.04) were more likely to be diagnosed with advanced stage (stages III/IV) HNC. Similarly, patients with Medicaid (adjusted hazard ratio [aHR] = 1.47, 95% CI 1.38, 1.56) and who were uninsured (aHR =1.45, 95% CI 1.29, 1.63) were more likely to die from any cause compared to privately insured patients. Medicaid (aHR = 1.34, 95% CI 1.24, 1.44) and uninsured (aHR = 1.41, 95% CI 1.24, 1.60) patients also had a greater hazard of HNC-specific deaths compared to privately insured patients. CONCLUSIONS: Incidence of advanced-stage presentation for female HNC patients in the United States has increased significantly since 2007, and patients who are uninsured or enrolled in Medicaid are more likely to present with late stage disease and die earlier. LEVEL OF EVIDENCE: NA Laryngoscope, 130:385-391, 2020.

Head and Neck Squamous Cell Carcinoma in Adolescents and Young Adults: Survivorship Patterns and Disparities.

PURPOSE: Adolescent and young adult (AYA) head and neck cancer (HNC) patients require longer term follow-ups as they age; yet, little is known about factors associated with survivorship in this population. We aimed to describe nonclinical factors associated with HNC survivorship among AYAs. METHODS: In this retrospective cohort study, the Surveillance, Epidemiology and End Results 18 database from 2007 to 2014 was queried. Eligible cases were 15-39-year-old primary HNC patients with known cause of death (n = 1777). Kaplan-Meier survival curves stratified by age group (15-29, 30-34, and 35-39) and by health insurance status tested differences in HNC survival among groups with a log-rank test. Variables, including age, sex, race/ethnicity, county-level poverty, anatomic site, stage, and treatment, were controlled for in a competing risk proportional hazards model. RESULTS: Patients were mostly male (64%), with mean age of 33.4 years. Survival rate was 73% after 8 years of follow-up. There were no significant survival differences based on age at diagnosis. However, AYAs who were on Medicaid (adjusted hazard ratio [aHR] = 1.61, 95% confidence interval [CI] 1.22-2.12) or uninsured (aHR = 1.51, 95% CI 1.03-2.21), had an increased hazard of death from HNC, compared with those with private insurance. CONCLUSION: Health insurance status is the main nonclinical factor associated with survival among AYAs with HNC, and individuals with Medicaid do not fare better than the uninsured. With a potential longer term follow-up in this AYA population, there is need to optimize survivorship irrespective of health insurance status.

Influence of health insurance status on paediatric non-Hodgkin's lymphoma treatment in Kenya.

OBJECTIVE: Non-Hodgkin's lymphoma (NHL) is the most common childhood malignancy in sub-Saharan Africa. Survival rates for NHL are higher than 80% in high-income countries.This study explores treatment outcomes of children with NHL in Kenya, a sub-Saharan low-income country, and the association between health insurance status at diagnosis and treatment outcomes. DESIGN: This was a retrospective medical records study. All children diagnosed with NHL in 2010, 2011 and 2012 were included. Data on treatment outcomes and health insurance status at diagnosis were collected. RESULTS: Of all 63 patients with NHL, 35% abandoned treatment, 22% had progressive or relapsed disease, 14% died and 29% had event-free survival. Most patients (73%) had no health insurance at diagnosis. Treatment outcomes in children with or without health insurance at diagnosis differed significantly (p=0.005). The most likely treatment outcome in children with health insurance at diagnosis was event-free survival (53%), whereas in children without health insurance at diagnosis it was abandonment of treatment (44%). Crude HR for treatment failure was 3.1 (95% CI 1.41 to 6.60, p=0.005) for uninsured versus insured children. The event-free survival estimate was significantly higher in children with health insurance at diagnosis than in patients without health insurance at diagnosis (p=0.003). Stage of disease at diagnosis was identified as a confounder of this association (adjusted HR=2.4, 95% CI 0.95 to 6.12, p=0.063). CONCLUSIONS: Survival of children with NHL in Kenya is much lower compared with high-income countries. Abandonment of treatment is the most common cause of treatment failure. Health insurance at diagnosis was associated with better treatment outcomes and survival.

Predictors of stage at presentation and outcomes of head and neck cancers in a university hospital setting.

BACKGROUND: To increase early detection of head and neck cancers, it is important that disparities associated with access to care are addressed. METHODS: A total of 351 patients aged 20 to 91 years (58.72 ± 11.70 years) diagnosed with head and neck cancers at a university hospital from 1997 to 2010 were analyzed. Logistic regression assessed the association between clinical stage at presentation and predictors. Cox proportional hazards model assessed the effect of stage at presentation on survival. RESULTS: Being African American was associated with increased odds of late stage at presentation (adjusted odds ratio [OR] = 2.16; 95% confidence interval [CI] = 1.01-4.59), and those without health insurance were 10.97 times more likely to present at late stage (95% CI = 1.30-92.49). Unmarried patients were 1.6 times at an increased hazard of death (95% CI = 1.12-2.24). CONCLUSION: Disparities, such as race and health insurance status, are important predictors of stage at presentation of patients with head and neck cancer. © 2015 Wiley Periodicals, Inc. Head Neck 38: E1826-E1832, 2016.