Incidence of non-AIDS defining comorbidities among young adults with perinatally acquired HIV in North America.

OBJECTIVE: The aim of this study is to describe the incidence of diabetes mellitus type 2 (T2DM), hypercholesterolemia, hypertriglyceridemia, hypertension, and chronic kidney disease (CKD) from 2000 to 2019 among North American adults with perinatally acquired HIV (PHIV) aged 18-30 years. DESIGN: Description of outcomes based on electronic health records for a cohort of 375 young adults with PHIV enrolled in routine HIV care at clinics contributing data to the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). METHODS: We estimated overall, sex, and race-stratified cumulative incidences using Turnbull estimation, and incidence rates using quasi-Poisson regression. T2DM was defined as glycosylated hemoglobin more than 6.5% or based on clinical diagnosis and medication use. Hypercholesterolemia was based on medication use or total cholesterol at least 200 mg/dl. Hypertriglyceridemia was based on medication use or fasting triglyceride at least 150 mg/dl or nonfasting at least 200 mg/dl. Hypertension was based on clinical diagnosis. CKD was defined as estimated glomerular filtration rates less than 90 ml/mi|1.73 m 2 for at least 3 months. RESULTS: Cumulative incidence by age 30 and incidence rates from age 18 to 30 (per 100 person-years) were T2DM: 19%, 2.9; hypercholesterolemia: 40%, 4.6; hypertriglyceridemia: 50%, 5.6; hypertension: 22%, 2.0; and CKD: 25%, 3.3. Non-Black women had the highest incidence of hypercholesterolemia and hypertriglyceridemia, Black adults had the highest hypertension incidence, and Black men had the highest CKD incidence. CONCLUSION: There was a high incidence of five chronic comorbidities among people with PHIV. Earlier screening at younger ages might be considered for this unique population to strengthen prevention strategies and initiate treatment in a timely way.

Previous and active tuberculosis increases risk of death and prolongs recovery in patients with COVID-19.

BACKGROUND: There is a growing literature on the association of SARS-CoV-2 and other chronic conditions, such as noncommunicable diseases. However, little is known about the impact of coinfection with tuberculosis. We aimed to compare the risk of death and recovery, as well as time-to-death and time-to-recovery, in COVID-19 patients with and without tuberculosis. METHODS: We created a 4:1 propensity score matched sample of COVID-19 patients without and with tuberculosis, using COVID-19 surveillance data in the Philippines. We conducted a longitudinal cohort analysis of matched COVID-19 patients as of May 17, 2020, following them until June 15, 2020. The primary analysis estimated the risk ratios of death and recovery in patients with and without tuberculosis. Kaplan-Meier curves described time-to-death and time-to-recovery stratified by tuberculosis status, and differences in survival were assessed using the Wilcoxon test. RESULTS: The risk of death in COVID-19 patients with tuberculosis was 2.17 times higher than in those without (95% CI: 1.40-3.37). The risk of recovery in COVID-19 patients with tuberculosis was 25% lower than in those without (RR = 0.75,05% CI 0.63-0.91). Similarly, time-to-death was significantly shorter (p = .0031) and time-to-recovery significantly longer in patients with tuberculosis (p = .0046). CONCLUSIONS: Our findings show that coinfection with tuberculosis increased morbidity and mortality in COVID-19 patients. Our findings highlight the need to prioritize routine and testing services for tuberculosis, although health systems are disrupted by the heavy burden of the SARS-CoV-2 pandemic.

Association of SHI coverage and level of healthcare utilization and costs in the Philippines: a 10-year pooled analysis.

BACKGROUND: The Philippine Health Insurance Corporation (PhilHealth), which manages the Philippine national health insurance program, is a critical actor in the country's strategy for universal health coverage. Over the past decade, PhilHealth has passed significant coverage, benefits and payment reforms to contain costs and improve the affordability care for high-cost diseases, inpatient care and select outpatient services. METHODS: We studied the association of PhilHealth with health care utilization and health care costs using three rounds of the Philippine Demographic and Health Survey with data on individual outpatient and inpatient visits from 2008 to 2017. RESULTS: PhilHealth membership was associated with 42% greater odds of outpatient utilization and 47-100% greater odds inpatient utilization depending on survey year. Depending on facility type, use of PhilHealth to pay for care was associated with higher average health care costs of 244-865% for outpatient care and 135-206% for inpatient care. CONCLUSIONS: PhilHealth has likely decreased barriers to health care utilization but may have inadvertently driven up health care costs in the country. Results align with past studies that suggest that reforms in the prior decade have done little to contain health care costs for Filipinos.

Utilization of the Ghana National Health Insurance Scheme and its association with patient perceptions on healthcare quality.

OBJECTIVE: To determine the association between the utilization of the Ghana National Health Insurance Scheme (NHIS) and patient perceptions of quality of care. METHODS: Ghana Demographic and Health Survey (GDHS) 2014 had 19 questions on perceptions of quality of care received during the last reported health visit (n = 4332). These questions were summarized into an overall 100-point perception score using item response theory (IRT). Patients were divided into three utilization categories: those paying with their NHIS card fully, those paying with their card and out-of-pocket (OOP), and those paying fully OOP. A multiple linear regression model was used to measure the association between NHIS utilization and overall perception. RESULTS: In general, NHIS utilization was negatively associated with overall perception, and the difference across utilization categories was higher among private facility users than public facility users. Among private facilities, those who paid fully with NHIS reported five points lower than those who paid fully OOP (P = 0.005). Among public facilities, the difference is only 1.7 (P = 0.4342). CONCLUSION: NHIS utilization was a negative predictor for patient perceptions, but the differences are more nuanced according to type of facility. Future GDHS rounds should continue measuring perceptions in aid of policy to improve service delivery under the NHIS.