Background: HIV pre-exposure prophylaxis (PrEP) reduces incident HIV infections, but efficacy depends on adherence and retention, among other factors. Substance use disorders, unmet mental health needs, and demographic factors are associated with nonadherence in HIV-infected patients; we studied whether these affect PrEP retention in care. Methods: To investigate potential risk factors disengagement in a comprehensive HIV prevention program, we conducted a retrospective cohort analysis of individuals starting tenofovir–emtricitabine between January 1, 2015, and November 30, 2017. The primary outcome was adherence to the initial 3-visit schedule after PrEP initiation. Results: The cohort was predominantly African American (23%) and Hispanic (46%). Race, ethnicity, substance use, patient health questionnaire 9 score, insurance, and housing status were not associated with retention at the third follow-up visit. Age <30, PrEP initiation in 2017, PrEP initiation in the sexual health clinic, and PrEP same-day start were associated with lower retention; male gender at birth, transition from post‐exposure prophylaxis (PEP) to PrEP, feeling that they could benefit from, or participating in mental health services were associated with increased retention. Overall, retention in HIV preventative care at the first follow-up visit (68%) and third follow-up visit (35%) after PrEP initiation was low. Conclusion: Clinic services and ancillary services (such as mental health) may facilitate retention in care. In this study, select social and behavioral determinants of health were not found to be linked to retention. Focused investigation of reasons for dropout may elucidate the challenges to maintaining individuals in PrEP care and direct resource allocation to those in greatest need.
In order to develop targeted strategies for combating drug resistance it is essential to understand it’s basic molecular mechanisms. In an exploratory study we have found several possible indicators of etoposide resistance operating in MCF7VP cells, including up-regulation of ABC transporter genes, modulation of miRNA, and alteration in copy numbers of genes.
Objective To review the evidence on trends and impacts of private equity (PE) ownership of healthcare operators. Design Systematic review. Data sources PubMed, Web of Science, Embase, Scopus, and SSRN. Eligibility criteria for study selection Empirical research studies of any design that evaluated PE owned healthcare operators. Main outcome measures The main outcome measures were impact of PE ownership on health outcomes, costs to patients or payers, costs to operators, and quality. The secondary outcome measures were trends and prevalence of PE ownership of healthcare operators. Data synthesis Studies were classified as finding either beneficial, harmful, mixed, or neutral impacts of PE ownership on main outcome measures. Results across studies were narratively synthesized and reported. Risk of bias was evaluated using ROBINS-I (Risk Of Bias In Non-randomised Studies of Interventions). Results The electronic search identified 1778 studies, with 55 meeting the inclusion criteria. Studies spanned eight countries, with most (n=47) analyzing PE ownership of healthcare operators in the US. Nursing homes were the most commonly studied healthcare setting (n=17), followed by hospitals and dermatology settings (n=9 each); ophthalmology (n=7); multiple specialties or general physician groups (n=5); urology (n=4); gastroenterology and orthopedics (n=3 each); surgical centers, fertility, and obstetrics and gynecology (n=2 each); and anesthesia, hospice care, oral or maxillofacial surgery, otolaryngology, and plastics (n=1 each). Across the outcome measures, PE ownership was most consistently associated with increases in costs to patients or payers. Additionally, PE ownership was associated with mixed to harmful impacts on quality. These outcomes held in sensitivity analyses in which only studies with moderate risk of bias were included. Health outcomes showed both beneficial and harmful results, as did costs to operators, but the volume of studies for these outcomes was too low for conclusive interpretation. In some instances, PE ownership was associated with reduced nurse staffing levels or a shift towards lower nursing skill mix. No consistently beneficial impacts of PE ownership were identified. Conclusions Trends in PE ownership rapidly increased across almost all healthcare settings studied. Such ownership is often associated with harmful impacts on costs to patients or payers and mixed to harmful impacts on quality. Owing to risk of bias and frequent geographic focus on the US, conclusions might not be generalizable internationally. Systematic review registration PROSPERO CRD42022329857.
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