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1.
AIDS Rev ; 23(2): 103-114, 2021 03 08.
Article in English | MEDLINE | ID: mdl-33105473

ABSTRACT

Efavirenz- and protease inhibitor (PI)-based regimens remain viable options across the globe. We conducted a meta-analysis to compare the effectiveness of efavirenz-based regimens relative to PI-based regimens. EMBASE, PubMed, Cochrane, and clinicaltrials.gov were searched for randomized controlled trials conducted between 1987 and 2018 comparing efavirenz- with PI-based regimens. This was followed by title, abstract, and full-text screens. The quality of selected studies was assessed using the Cochrane risk of bias tool. Meta-analysis of the odds of virological suppression was conducted using the robust variance estimation approach. Fifteen studies met the inclusion criteria and totaled 6712 patients (efavirenz arm = 3339; PI arm = 3373), of which 1610 (24.0%) were females. Follow-up ranged from 24 to 144 weeks. Mean/median age ranged from 33 to 44 years. Mean/median baseline CD4 count ranged from 32 to 557 cells/mL while mean/median baseline viral load ranged from log10 4.5 to log10 5.5 copies/mL. Meta-analysis showed that patients receiving efavirenz-based regimens had 37% higher odds of virological suppression compared to PI-based regimens (odds ratio = 1.37, 95% confidence interval = 1.06-1.77, p = 0.02). The Egger test suggested the presence of publication bias (B = 0.927, t = 2.214, p = 0.033). The main threat to the quality of evidence was attrition bias. Regarding virological suppression, efavirenzbased regimens were more effective than PI-based regimens and, therefore, might be ideal for the management of treatment naïve patients with HIV in settings where NNRTIs and PIs are used.


Subject(s)
Anti-HIV Agents , HIV Infections , HIV Protease Inhibitors , Adult , Alkynes , Anti-HIV Agents/therapeutic use , Benzoxazines/therapeutic use , CD4 Lymphocyte Count , Cyclopropanes , Female , HIV Infections/drug therapy , HIV Protease Inhibitors/therapeutic use , Humans , Reverse Transcriptase Inhibitors/therapeutic use , Treatment Outcome , Viral Load
2.
AIDS ; 34(2): 291-300, 2020 02 01.
Article in English | MEDLINE | ID: mdl-31714351

ABSTRACT

OBJECTIVES: Multiple care quality indicators for HIV infection exist but few studies examine their impact on health outcomes. This study assessed which HIV care quality indicators were associated with healthcare resource utilization and costs. DESIGN: Retrospective analysis of Texas Medicaid claims data (01 January 2012 to 31 September 2016). METHODS: Included patients had at least two HIV-related medical claims during the identification period (01 July 2012 to 31 August 2014) (index = date of first HIV claim), were 18-62 years at index, and were continuously enrolled in the 6-month pre-index and 1-year post-index periods. Dependent variables included emergency department (ED) visits, inpatient hospitalizations, prescription count, and all-cause healthcare costs. Independent variables included CD4 cell count monitoring, syphilis, chlamydia, gonorrhea, hepatitis B, hepatitis C, and tuberculosis screenings, influenza and pneumococcal vaccinations, retention in care, and HAART initiation. Covariates included age, chronic hepatitis C virus infection, AIDS diagnosis, sex, and baseline healthcare cost. The study objective was addressed using generalized linear modeling. RESULTS: CD4 cell count monitoring and HAART initiation were significantly associated with reduced emergency department visits (P < 0.0001 for each). Influenza vaccination was significantly associated with reduced inpatient hospitalization (P < 0.0001). CD4 cell count monitoring (P < 0.0001), TB screening (P = 0.0006), influenza vaccination (P < 0.0001), and HAART initiation (P < 0.0001) were significantly associated with increase prescription claims. CD4 cell count monitoring, TB screening, and HAART initiation (P < 0.0001 for each) were significantly associated with all-cause healthcare costs. CONCLUSION: HAART may reduce use of emergency care services as early as 1 year following initiation.


Subject(s)
Antiretroviral Therapy, Highly Active , Emergency Service, Hospital/statistics & numerical data , HIV Infections/drug therapy , Health Care Costs/trends , Patient Acceptance of Health Care , Quality Indicators, Health Care , Adolescent , Adult , Emergency Service, Hospital/economics , Female , HIV Infections/economics , Health Care Costs/statistics & numerical data , Hospitalization/economics , Hospitalization/statistics & numerical data , Humans , Male , Medicaid/economics , Medicaid/statistics & numerical data , Middle Aged , Regression Analysis , Retrospective Studies , Texas , United States , Young Adult
3.
J Rural Health ; 23(2): 141-9, 2007.
Article in English | MEDLINE | ID: mdl-17397370

ABSTRACT

CONTEXT: Many rural hospitals in the United States continue to have difficulties recruiting physicians. While several studies have examined some of the factors affecting the nature of this problem, we know far less about the role of economic incentives between rural providers and physicians. PURPOSE: This conceptual article describes an economic theory of organization called Transaction Cost Theory (TCT) and applies it to rural hospital-physician relationships to highlight how transaction costs affect the type of contractual arrangement used by rural hospitals when recruiting physicians. METHODS: The literature is reviewed to introduce TCT, describe current trends in hospital contracting with physicians, and develop a TCT contracting model for analysis of rural hospital-physician recruitment. FINDINGS: The TCT model predicts that hospitals tend to favor contractual arrangements in which physicians are full-time employees if investments in physical or other assets made by hospitals cannot be easily redeployed for other services in the health care system. Transaction costs related to motivation and coordination of physician services are the key factors in understanding the unique contractual difficulties faced by rural providers. CONCLUSIONS: The TCT model can be used by rural hospital administrators to assess economic incentives for physician recruitment.


Subject(s)
Hospital-Physician Relations , Hospitals, Rural , Medically Underserved Area , Personnel Selection , Physician Incentive Plans/economics , Professional Practice Location/economics , Rural Health Services , Career Choice , Contract Services , Decision Making , Hospitals, Rural/economics , Humans , Models, Econometric , United States , Workforce
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